From d36868b6502c51ea8ed19697d988ddf84b90282c Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 23 May 2026 21:14:22 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: Godcat252/Besttop977 Source: Original Platform --- .gitattributes | 37 + LICENSE | 190 + README.md | 211 ++ chat_template.jinja | 112 + config.json | 53 + configuration_deepseek.py | 214 ++ generation_config.json | 6 + model-00001-of-00007.safetensors | 3 + model-00002-of-00007.safetensors | 3 + model-00003-of-00007.safetensors | 3 + model-00004-of-00007.safetensors | 3 + model-00005-of-00007.safetensors | 3 + model-00006-of-00007.safetensors | 3 + model-00007-of-00007.safetensors | 3 + model.safetensors.index.json | 5529 ++++++++++++++++++++++++++++++ modeling_deepseek.py | 1808 ++++++++++ preview-banner.png | 3 + special_tokens_map.json | 40 + tokenizer.json | 3 + tokenizer_config.json | 325 ++ 20 files changed, 8552 insertions(+) create mode 100644 .gitattributes create mode 100644 LICENSE create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 configuration_deepseek.py create mode 100644 generation_config.json create mode 100644 model-00001-of-00007.safetensors create mode 100644 model-00002-of-00007.safetensors create mode 100644 model-00003-of-00007.safetensors create mode 100644 model-00004-of-00007.safetensors create mode 100644 model-00005-of-00007.safetensors create mode 100644 model-00006-of-00007.safetensors create mode 100644 model-00007-of-00007.safetensors create mode 100644 model.safetensors.index.json create mode 100644 modeling_deepseek.py create mode 100644 preview-banner.png create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..22bc167 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +preview-banner.png filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..3ea2b0b --- /dev/null +++ b/LICENSE @@ -0,0 +1,190 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding any notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + Copyright 2026 Trillion Labs + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..bf48567 --- /dev/null +++ b/README.md @@ -0,0 +1,211 @@ +--- +license: apache-2.0 +language: +- en +- ko +library_name: transformers +tags: +- moe +- mixture-of-experts +- gravity +- trillion-labs +- chat +- post-trained +- preview +pipeline_tag: text-generation +base_model: +- trillionlabs/Gravity-16B-A3B-Base +--- + +

+ Gravity-16B-A3B-Preview +

+ +# Gravity-16B-A3B-Preview + +**Gravity-16B-A3B-Preview** is a post-trained language model built on [Gravity-16B-A3B-Base](https://huggingface.co/trillionlabs/Gravity-16B-A3B-Base) by [Trillion Labs](https://trillionlabs.co). Starting from the base model, it underwent context length extension (32K → 128K), supervised fine-tuning (SFT), and reinforcement learning (GRPO) focused on science and code. + +This is a preview release offering a strong balance of capability, efficiency, and long-context support for its size. We are actively working on agentic capabilities for the full release. + +## Model Summary + +| Property | Value | +|---|---| +| **Base Model** | [Gravity-16B-A3B-Base](https://huggingface.co/trillionlabs/Gravity-16B-A3B-Base) | +| **Total Parameters** | 16.24B | +| **Active Parameters** | 3.16B | +| **Architecture** | GravityMoE | +| **Context Length** | 131,072 tokens (128K) | +| **Precision** | bf16 | +| **License** | Apache 2.0 | + +For full architectural details (MLA, MoE routing, tokenizer, etc.), see the [base model card](https://huggingface.co/trillionlabs/Gravity-16B-A3B-Base). + +## Post-Training Pipeline + +Starting from [Gravity-16B-A3B-Base](https://huggingface.co/trillionlabs/Gravity-16B-A3B-Base) (pretrained on ~5.5T tokens): + +1. **Context Length Extension** — Extended from 32K to 128K tokens. +2. **Supervised Fine-Tuning (SFT)** — Instruction tuning for general chat and task-following capabilities. +3. **Reinforcement Learning (GRPO)** — Single-step Group Relative Policy Optimization focused on science and code domains. + +Agentic RL and multi-turn RL stages are in progress and will be included in future releases. + +## Evaluation Results + +| Category | Benchmark | Metric | Score | +|---|---|---|---| +| **Math** | AIME 2024 | acc | 43.3 | +| | GSM8K | acc | 91.8 | +| | MATH500 | acc | 88.6 | +| **Code** | HumanEval | pass@1 | 89.0 | +| | MBPP | pass@1 | 96.0 | +| | LiveCodeBench V6 | pass@1 | 41.0 | +| **Knowledge** | MMLU | acc | 80.1 | +| | MMLU-Pro | acc | 71.5 | +| | BBH | acc | 79.24 | +| **Science** | GPQA Diamond | acc | 55.1 | +| | Arc Challenge | acc | 92.32 | +| | ChemBench | acc | 68.6 | +| | Molang Bench (Editing) | SMILEs validty / Tanimoto similarity / Accuracy | 70.83 / 86.43 / 43.23 | +| | Molang Bench (Generation) | SMILEs validty / Tanimoto similarity / Accuracy | 35.96 / 43.24 / 1.69 | +| **Instruction Following** | IFEval | instruct level loose | 84.53 | +| | IFBench | instruct level loose | 46.51 | +| **Agentic** | Tau^2 (Telecom) | pass@1 | 71.93 | +| | Scicode | sub problem level | 18.8 | +| | Terminal Bench | pass@1 | 21.25 | +| **Long Context** | AA-LCR | pass@1 | 21.0 | + +### Comparison with Moonlight-16B-A3B-Instruct + +| Category | Benchmark | Metric | Gravity-16B-A3B-Preview | Moonlight-16B-A3B-Instruct | +|---|---|---|---|---| +| **Math** | GSM8K | acc | 91.8 | 77.4 | +| **Code** | HumanEval | pass@1 | 89.0 | 48.1 | +| | MBPP | pass@1 | 96.0 | 63.8 | +| **Knowledge** | MMLU | acc | 80.1 | 70.0 | +| | MMLU-Pro | acc | 71.5 | 42.4 | +| | BBH | acc | 79.24 | 65.2 | + +> Note: We include Moonlight-16B-A3B-Instruct for comparison since it is similar in size to our model. Moonlight-16B-A3B-Instruct scores are taken from the numbers reported in their own technical report. + +With 3.16B active parameters, 128K context, and broad coverage across math, code, and knowledge benchmarks, the model offers a strong balance of capability and efficiency for its size. + +Agentic benchmarks (multi-step tool use, code execution) are not yet a focus of this release. We are actively training on agentic tasks and will include those results in the next release. + +## Quickstart + +### Installation + +```bash +pip install "transformers>=5.0" torch +``` + +### Using Transformers + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +model_name = "trillionlabs/Gravity-16B-A3B-Preview" + +tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) +model = AutoModelForCausalLM.from_pretrained( + model_name, + trust_remote_code=True, + torch_dtype=torch.bfloat16, + device_map="auto", +) + +messages = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Solve the equation: x^3 - 6x^2 + 11x - 6 = 0"}, +] + +input_ids = tokenizer.apply_chat_template( + messages, add_generation_prompt=True, return_tensors="pt" +).to(model.device) + +output = model.generate(input_ids, max_new_tokens=1024, do_sample=True, temperature=0.7) +print(tokenizer.decode(output[0][input_ids.shape[-1]:], skip_special_tokens=True)) +``` + +## Deployment + +> **Note:** We are working on upstreaming native GravityMoE support to [SGLang](https://github.com/sgl-project/sglang). Until the PR is merged, please use the installation steps below. + +### SGLang + +Install SGLang from the [sglang-gravity](https://github.com/trillion-labs/sglang-gravity) fork: + +```bash +pip install "sglang[all] @ git+https://github.com/trillion-labs/sglang-gravity.git#subdirectory=python" +``` + +Launch the server: + +```bash +python3 -m sglang.launch_server \ + --model-path trillionlabs/Gravity-16B-A3B-Preview \ + --host 0.0.0.0 \ + --port 30000 \ + --tp 8 \ + --trust-remote-code \ + --moe-runner-backend triton \ + --tool-call-parser glm45 \ + --reasoning-parser glm45 \ + --dtype bfloat16 +``` + +Send a request: + +```bash +curl http://localhost:30000/v1/chat/completions \ + -H "Content-Type: application/json" \ + -d '{ + "model": "trillionlabs/Gravity-16B-A3B-Preview", + "messages": [{"role": "user", "content": "What is the capital of South Korea?"}], + "max_tokens": 128, + "temperature": 0.7 + }' +``` + +## Limitations + +- This is a preview release. Agentic and multi-turn capabilities are under active development. +- The model may generate factually incorrect, biased, or harmful content. +- Performance may degrade on languages not well-represented in the training data. + +## Acknowledgements + +This model was developed as part of a collaborative research initiative led by **Lunit** and **Trillion Labs**, with a focus on advancing foundation models for science and healthcare. + +- **Lunit** — Project lead and medical AI research +- **Trillion Labs** — Model architecture, pretraining, and infrastructure +- **Aigen Science** — Biomedical AI and drug discovery research +- **SK Biopharmaceuticals** — AI-driven drug development and digital healthcare advisory +- **Kakao Healthcare** — Medical data standardization and platform support + +We also thank the following participating institutions for their contributions: KAIST (Yoonjae Choi, Taekyun Kim, Jong Chul Ye, Hyunwoo Kim, Seunghoon Hong), Seoul National University (Yousung Jung), Rebellions, Standigm, NHIS Ilsan Hospital, Yongin Severance Hospital, Gangdong Kyung Hee University Hospital, Kyung Hee University Medical Center, Korea University, Konyang University Hospital, Ewha Womans University Seoul Hospital, Keimyung University Dongsan Medical Center, Pusan National University Yangsan Hospital, and D-Circle. + +This work was supported by the **AI Specialized Foundation Model Project** (인공지능 특화 파운데이션 모델 프로젝트), funded by the **Ministry of Science and ICT** (과학기술정보통신부, MSIT) and managed by the **National IT Industry Promotion Agency** (NIPA, 정보통신산업진흥원). + +## License + +This model is released under the [Apache 2.0 License](LICENSE). + +## Citation + +```bibtex +@misc{gravity-preview-2026, + title={Gravity-16B-A3B-Preview}, + author={Trillion Labs}, + year={2026}, + url={https://huggingface.co/trillionlabs/Gravity-16B-A3B-Preview} +} +``` + +## Contact + +- Website: [trillionlabs.co](https://trillionlabs.co) +- Website: [lunit.io](https://www.lunit.io) diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..039939f --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,112 @@ +{%- macro render_content(msg) -%} + {%- set c = msg.get('content') -%} + {%- if c is string -%} + {{ c }} + {%- elif c is not none -%} + {% for content in c -%} + {% if content['type'] == 'image' or content['type'] == 'image_url' -%} + <|media_begin|>image<|media_content|><|media_pad|><|media_end|> + {% elif content['type'] == 'video' or content['type']== 'video_url'-%} + <|kimi_k25_video_placeholder|> + {% else -%} + {{ content['text'] }} + {%- endif -%} + {%- endfor -%} + {%- endif -%} +{%- endmacro -%} + +{% macro set_roles(message) -%} + {%- set role_name = message.get('name') or message['role'] -%} + {%- if message['role'] == 'user' -%} + <|im_user|>{{role_name}}<|im_middle|> + {%- elif message['role'] == 'assistant' -%} + <|im_assistant|>{{role_name}}<|im_middle|> + {%- else -%} + <|im_system|>{{role_name}}<|im_middle|> + {%- endif -%} +{%- endmacro -%} + + +{%- macro render_toolcalls(message) -%} + <|tool_calls_section_begin|> + {%- for tool_call in message['tool_calls'] -%} + {%- set formatted_id = tool_call['id'] -%} + <|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{% if tool_call['function']['arguments'] is string %}{{ tool_call['function']['arguments'] }}{% else %}{{ tool_call['function']['arguments'] | tojson }}{% endif %}<|tool_call_end|> + {%- endfor -%} + <|tool_calls_section_end|> +{%- endmacro -%} + + +{%- set preserve_thinking = preserve_thinking | default(false) -%} +{# Find last non-tool-call assistant message. If preserve_thinking, keep -1 so hist is empty and all msgs use suffix (retain reasoning). #} +{%- set ns = namespace(last_non_tool_call_assistant_msg=-1) -%} +{%- if not preserve_thinking -%} +{%- for idx in range(messages|length-1, -1, -1) -%} + {%- if messages[idx]['role'] == 'assistant' and not messages[idx].get('tool_calls') -%} + {%- set ns.last_non_tool_call_assistant_msg = idx -%} + {%- break -%} + {%- endif -%} +{%- endfor -%} +{%- endif -%} + +{# split all messages into history & suffix, reasoning_content in suffix should be reserved.#} +{%- set hist_msgs = messages[:ns.last_non_tool_call_assistant_msg+1] -%} +{%- set suffix_msgs = messages[ns.last_non_tool_call_assistant_msg+1:] -%} + +{%- if tools -%} + {%- if tools_ts_str -%} + <|im_system|>tool_declare<|im_middle|>{{ tools_ts_str }}<|im_end|> + {%- else -%} + <|im_system|>tool_declare<|im_middle|>{{ tools | tojson(separators=(',', ':')) }}<|im_end|> + {%- endif -%} +{%- endif -%} + + +{%- for message in hist_msgs -%} + {{set_roles(message)}} + {%- if message['role'] == 'assistant' -%} + {{render_content(message)}} + {%- if message.get('tool_calls') -%} + {{render_toolcalls(message)}} + {%- endif -%} + {%- elif message['role'] == 'tool' -%} + {%- set tool_call_id = message.tool_call_id -%} + ## Return of {{ tool_call_id }} +{{render_content(message)}} + {%- elif message['content'] is not none -%} + {{render_content(message)}} + {%- endif -%} + <|im_end|> +{%- endfor -%} + +{%- for message in suffix_msgs -%} + {{set_roles(message)}} + {%- if message['role'] == 'assistant' -%} + {%- if thinking is defined and thinking is false and preserve_thinking is false -%} + {{render_content(message)}} + {%- else -%} + {%- set rc = message.get('reasoning', message.get('reasoning_content', '')) -%} + {{rc}}{{render_content(message)}} + {%- endif -%} + {%- if message.get('tool_calls') -%} + {{render_toolcalls(message)}} + {%- endif -%} + {%- elif message['role'] == 'tool' -%} + {%- set tool_call_id = message.tool_call_id -%} + ## Return of {{ tool_call_id }} +{{render_content(message)}} + {%- elif message['content'] is not none -%} + {{render_content(message)}} + {%- endif -%} + <|im_end|> +{%- endfor -%} + + +{%- if add_generation_prompt -%} + <|im_assistant|>assistant<|im_middle|> + {%- if thinking is defined and thinking is false -%} + + {%- else -%} + + {%- endif -%} +{%- endif -%} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..dd7067c --- /dev/null +++ b/config.json @@ -0,0 +1,53 @@ +{ + "architectures": [ + "DeepseekV3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "aux_loss_alpha": 1e-06, + "bos_token_id": 0, + "dtype": "bfloat16", + "eos_token_id": 151336, + "first_k_dense_replace": 1, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 8192, + "kv_lora_rank": 512, + "max_position_embeddings": 131072, + "model_type": "deepseek_v3", + "moe_intermediate_size": 1408, + "moe_layer_freq": 1, + "n_group": 1, + "n_routed_experts": 64, + "n_shared_experts": 1, + "norm_topk_prob": true, + "num_attention_heads": 16, + "num_experts_per_tok": 8, + "num_hidden_layers": 28, + "num_key_value_heads": 16, + "pretraining_tp": 1, + "q_lora_rank": null, + "qk_head_dim": 192, + "qk_nope_head_dim": 128, + "qk_rope_head_dim": 64, + "rms_norm_eps": 1e-06, + "rope_interleave": true, + "rope_scaling": null, + "rope_theta": 1000000.0, + "routed_scaling_factor": 2.446, + "scoring_func": "sigmoid", + "tie_word_embeddings": false, + "topk_group": 1, + "topk_method": "noaux_tc", + "transformers_version": "4.57.6", + "use_cache": true, + "v_head_dim": 128, + "vocab_size": 163840, + "auto_map": { + "AutoConfig": "configuration_deepseek.DeepseekV3Config", + "AutoModel": "modeling_deepseek.DeepseekV3Model", + "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM" + } +} diff --git a/configuration_deepseek.py b/configuration_deepseek.py new file mode 100644 index 0000000..b3152dd --- /dev/null +++ b/configuration_deepseek.py @@ -0,0 +1,214 @@ +# Copy from https://huggingface.co/deepseek-ai/DeepSeek-V3/blob/main/configuration_deepseek.py + +from transformers.configuration_utils import PretrainedConfig +from transformers.utils import logging + +logger = logging.get_logger(__name__) + +DEEPSEEK_PRETRAINED_CONFIG_ARCHIVE_MAP = {} + + +class DeepseekV3Config(PretrainedConfig): + r""" + This is the configuration class to store the configuration of a [`DeepseekV3Model`]. It is used to instantiate an DeepSeek + model according to the specified arguments, defining the model architecture. Instantiating a configuration with the + defaults will yield a similar configuration to that of the DeepSeek-V3. + + Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the + documentation from [`PretrainedConfig`] for more information. + + + Args: + vocab_size (`int`, *optional*, defaults to 129280): + Vocabulary size of the Deep model. Defines the number of different tokens that can be represented by the + `inputs_ids` passed when calling [`DeepseekV3Model`] + hidden_size (`int`, *optional*, defaults to 4096): + Dimension of the hidden representations. + intermediate_size (`int`, *optional*, defaults to 11008): + Dimension of the MLP representations. + moe_intermediate_size (`int`, *optional*, defaults to 1407): + Dimension of the MoE representations. + num_hidden_layers (`int`, *optional*, defaults to 32): + Number of hidden layers in the Transformer decoder. + num_nextn_predict_layers (`int`, *optional*, defaults to 1): + Number of nextn predict layers in the DeepSeekV3 Model. + num_attention_heads (`int`, *optional*, defaults to 32): + Number of attention heads for each attention layer in the Transformer decoder. + n_shared_experts (`int`, *optional*, defaults to None): + Number of shared experts, None means dense model. + n_routed_experts (`int`, *optional*, defaults to None): + Number of routed experts, None means dense model. + routed_scaling_factor (`float`, *optional*, defaults to 1.0): + Scaling factor or routed experts. + topk_method (`str`, *optional*, defaults to `gready`): + Topk method used in routed gate. + n_group (`int`, *optional*, defaults to None): + Number of groups for routed experts. + topk_group (`int`, *optional*, defaults to None): + Number of selected groups for each token(for each token, ensuring the selected experts is only within `topk_group` groups). + num_experts_per_tok (`int`, *optional*, defaults to None): + Number of selected experts, None means dense model. + moe_layer_freq (`int`, *optional*, defaults to 1): + The frequency of the MoE layer: one expert layer for every `moe_layer_freq - 1` dense layers. + first_k_dense_replace (`int`, *optional*, defaults to 0): + Number of dense layers in shallow layers(embed->dense->dense->...->dense->moe->moe...->lm_head). + \--k dense layers--/ + norm_topk_prob (`bool`, *optional*, defaults to False): + Whether to normalize the weights of the routed experts. + scoring_func (`str`, *optional*, defaults to 'softmax'): + Method of computing expert weights. + aux_loss_alpha (`float`, *optional*, defaults to 0.001): + Auxiliary loss weight coefficient. + seq_aux = (`bool`, *optional*, defaults to True): + Whether to compute the auxiliary loss for each individual sample. + num_key_value_heads (`int`, *optional*): + This is the number of key_value heads that should be used to implement Grouped Query Attention. If + `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if + `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When + converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed + by meanpooling all the original heads within that group. For more details checkout [this + paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to + `num_attention_heads`. + hidden_act (`str` or `function`, *optional*, defaults to `"silu"`): + The non-linear activation function (function or string) in the decoder. + max_position_embeddings (`int`, *optional*, defaults to 2048): + The maximum sequence length that this model might ever be used with. + initializer_range (`float`, *optional*, defaults to 0.02): + The standard deviation of the truncated_normal_initializer for initializing all weight matrices. + rms_norm_eps (`float`, *optional*, defaults to 1e-06): + The epsilon used by the rms normalization layers. + use_cache (`bool`, *optional*, defaults to `True`): + Whether or not the model should return the last key/values attentions (not used by all models). Only + relevant if `config.is_decoder=True`. + pad_token_id (`int`, *optional*): + Padding token id. + bos_token_id (`int`, *optional*, defaults to 1): + Beginning of stream token id. + eos_token_id (`int`, *optional*, defaults to 2): + End of stream token id. + pretraining_tp (`int`, *optional*, defaults to 1): + Experimental feature. Tensor parallelism rank used during pretraining. Please refer to [this + document](https://huggingface.co/docs/transformers/parallelism) to understand more about it. This value is + necessary to ensure exact reproducibility of the pretraining results. Please refer to [this + issue](https://github.com/pytorch/pytorch/issues/76232). + tie_word_embeddings (`bool`, *optional*, defaults to `False`): + Whether to tie weight embeddings + rope_theta (`float`, *optional*, defaults to 10000.0): + The base period of the RoPE embeddings. + rope_scaling (`Dict`, *optional*): + Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports two scaling + strategies: linear and dynamic. Their scaling factor must be a float greater than 1. The expected format is + `{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update + `max_position_embeddings` to the expected new maximum. + attention_bias (`bool`, defaults to `False`, *optional*, defaults to `False`): + Whether to use a bias in the query, key, value and output projection layers during self-attention. + attention_dropout (`float`, *optional*, defaults to 0.0): + The dropout ratio for the attention probabilities. + + ```python + >>> from transformers import DeepseekV3Model, DeepseekV3Config + + >>> # Initializing a Deepseek-V3 style configuration + >>> configuration = DeepseekV3Config() + + >>> # Accessing the model configuration + >>> configuration = model.config + ```""" + + model_type = "deepseek_v3" + keys_to_ignore_at_inference = ["past_key_values"] + + def __init__( + self, + vocab_size=129280, + hidden_size=7168, + intermediate_size=18432, + moe_intermediate_size=2048, + num_hidden_layers=61, + num_nextn_predict_layers=1, + num_attention_heads=128, + num_key_value_heads=128, + n_shared_experts=1, + n_routed_experts=256, + ep_size=1, + routed_scaling_factor=2.5, + kv_lora_rank=512, + q_lora_rank=1536, + qk_rope_head_dim=64, + v_head_dim=128, + qk_nope_head_dim=128, + topk_method='noaux_tc', + n_group=8, + topk_group=4, + num_experts_per_tok=8, + moe_layer_freq=1, + first_k_dense_replace=3, + norm_topk_prob=True, + scoring_func='sigmoid', + aux_loss_alpha=0.001, + seq_aux=True, + hidden_act="silu", + max_position_embeddings=4096, + initializer_range=0.02, + rms_norm_eps=1e-6, + use_cache=True, + pad_token_id=None, + bos_token_id=0, + eos_token_id=1, + pretraining_tp=1, + tie_word_embeddings=False, + rope_theta=10000.0, + rope_scaling=None, + attention_bias=False, + attention_dropout=0.0, + **kwargs, + ): + self.vocab_size = vocab_size + self.max_position_embeddings = max_position_embeddings + self.hidden_size = hidden_size + self.intermediate_size = intermediate_size + self.moe_intermediate_size = moe_intermediate_size + self.num_hidden_layers = num_hidden_layers + self.num_nextn_predict_layers = num_nextn_predict_layers + self.num_attention_heads = num_attention_heads + self.n_shared_experts = n_shared_experts + self.n_routed_experts = n_routed_experts + self.ep_size = ep_size + self.routed_scaling_factor = routed_scaling_factor + self.kv_lora_rank = kv_lora_rank + self.q_lora_rank = q_lora_rank + self.qk_rope_head_dim = qk_rope_head_dim + self.v_head_dim = v_head_dim + self.qk_nope_head_dim = qk_nope_head_dim + self.topk_method = topk_method + self.n_group = n_group + self.topk_group = topk_group + self.num_experts_per_tok = num_experts_per_tok + self.moe_layer_freq = moe_layer_freq + self.first_k_dense_replace = first_k_dense_replace + self.norm_topk_prob = norm_topk_prob + self.scoring_func = scoring_func + self.aux_loss_alpha = aux_loss_alpha + self.seq_aux = seq_aux + # for backward compatibility + if num_key_value_heads is None: + num_key_value_heads = num_attention_heads + + self.num_key_value_heads = num_key_value_heads + self.hidden_act = hidden_act + self.initializer_range = initializer_range + self.rms_norm_eps = rms_norm_eps + self.pretraining_tp = pretraining_tp + self.use_cache = use_cache + self.rope_theta = rope_theta + self.rope_scaling = rope_scaling + self.attention_bias = attention_bias + self.attention_dropout = attention_dropout + + super().__init__( + pad_token_id=pad_token_id, + bos_token_id=bos_token_id, + eos_token_id=eos_token_id, + tie_word_embeddings=tie_word_embeddings, + **kwargs, + ) diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..712a6c5 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,6 @@ +{ + "_from_model_config": true, + "bos_token_id": 0, + "eos_token_id": 151336, + "transformers_version": "4.57.6" +} diff --git a/model-00001-of-00007.safetensors b/model-00001-of-00007.safetensors new file mode 100644 index 0000000..a65f922 --- /dev/null +++ b/model-00001-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:854f96570da76c4a84c0c9f8e5d549b3f96806dfe0f91d69072825c5b56d63f6 +size 5045355830 diff --git a/model-00002-of-00007.safetensors b/model-00002-of-00007.safetensors new file mode 100644 index 0000000..bb842d0 --- /dev/null +++ b/model-00002-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f3d627e0d746f793bca3bbf8c6fed8f934b4a1e6384c7379807ef2f59b4ba8e +size 4992426704 diff --git a/model-00003-of-00007.safetensors b/model-00003-of-00007.safetensors new file mode 100644 index 0000000..fbfa0e9 --- /dev/null +++ b/model-00003-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:401bfa37d3395681daf6907d2e3d3535b459f6af9c6882e54b47a0b85b7eac87 +size 4998709015 diff --git a/model-00004-of-00007.safetensors b/model-00004-of-00007.safetensors new file mode 100644 index 0000000..0f53566 --- /dev/null +++ b/model-00004-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:398ea7f1e243e7d602ab427119b064241ec4eff7de88ef2117c025c1c82fd99e +size 4996087805 diff --git a/model-00005-of-00007.safetensors b/model-00005-of-00007.safetensors new file mode 100644 index 0000000..5be7a25 --- /dev/null +++ b/model-00005-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d9e2aa6676df7ec770d8d2874fc90360f971600dd94d1104335b224879f25b5e +size 4995049023 diff --git a/model-00006-of-00007.safetensors b/model-00006-of-00007.safetensors new file mode 100644 index 0000000..fc427ef --- /dev/null +++ b/model-00006-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce91b0332b01f40e38a55bf9964a1561aee2d5cc68b98346f999575f76d71426 +size 4996087783 diff --git a/model-00007-of-00007.safetensors b/model-00007-of-00007.safetensors new file mode 100644 index 0000000..a4616a8 --- /dev/null +++ b/model-00007-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5cf77f837121e708934709c12b2bcdb5809a9f0e000948c218d3f5945c561170 +size 2561997258 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..053da3a --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,5529 @@ +{ + "metadata": { + "total_parameters": 16242180096, + "total_size": 32484363648 + }, + "weight_map": { + "lm_head.weight": "model-00007-of-00007.safetensors", + "model.embed_tokens.weight": "model-00001-of-00007.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.kv_a_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.kv_b_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.0.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.0.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.0.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.1.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.1.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.1.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.10.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.10.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.10.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.11.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.11.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.11.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.12.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.12.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.12.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.13.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.13.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.13.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.14.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.14.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.14.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.15.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.15.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.15.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.16.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.16.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.16.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.17.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.17.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.17.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.18.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.18.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.18.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.19.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.19.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.19.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.2.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.2.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.2.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.20.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.20.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.20.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.21.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.21.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.21.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.22.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.22.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.22.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.23.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.23.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.23.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.24.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.24.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.24.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.25.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.25.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.25.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.26.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.26.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.26.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.27.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.27.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.27.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.28.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.28.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.28.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.29.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.29.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.29.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.3.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.3.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.3.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.30.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.30.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.30.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.31.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.31.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.31.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.32.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.32.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.32.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.33.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.33.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.33.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.34.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.34.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.34.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.35.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.35.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.35.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.36.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.36.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.36.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.37.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.37.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.37.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.38.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.38.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.38.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.39.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.39.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.39.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.4.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.4.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.4.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.40.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.40.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.40.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.41.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.41.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.41.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.42.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.42.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.42.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.43.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.43.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.43.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.44.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.44.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.44.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.45.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.45.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.45.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.46.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.46.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.46.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.47.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.47.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.47.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.48.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.48.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.48.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.49.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.49.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.49.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.5.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.5.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.5.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.50.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.50.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.50.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.51.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.51.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.51.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.52.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.52.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.52.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.53.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.53.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.53.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.54.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.54.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.54.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.55.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.55.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.55.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.56.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.56.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.56.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.57.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.57.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.57.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.58.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.58.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.58.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.59.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.59.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.59.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.6.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.6.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.6.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.60.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.60.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.60.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.61.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.61.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.61.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.62.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.62.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.62.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.63.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.63.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.63.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.7.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.7.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.7.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.8.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.8.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.8.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.9.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.9.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.experts.9.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.gate.e_score_correction_bias": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.gate.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.shared_experts.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.shared_experts.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.shared_experts.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.kv_a_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.kv_b_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.0.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.0.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.0.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.1.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.1.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.1.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.10.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.10.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.10.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.11.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.11.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.11.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.12.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.12.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.12.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.13.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.13.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.13.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.14.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.14.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.14.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.15.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.15.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.15.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.16.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.16.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.16.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.17.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.17.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.17.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.18.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.18.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.18.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.19.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.19.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.19.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.2.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.2.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.2.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.20.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.20.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.20.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.21.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.21.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.21.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.22.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.22.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.22.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.23.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.23.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.23.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.24.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.24.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.24.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.25.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.25.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.25.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.26.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.26.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.26.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.27.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.27.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.27.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.28.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.28.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.28.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.29.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.29.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.29.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.3.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.3.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.3.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.30.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.30.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.30.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.31.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.31.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.31.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.32.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.32.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.32.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.33.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.33.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.33.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.34.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.34.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.34.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.35.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.35.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.35.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.36.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.36.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.36.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.37.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.37.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.37.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.38.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.38.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.38.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.39.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.39.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.39.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.4.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.4.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.4.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.40.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.40.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.40.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.41.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.41.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.41.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.42.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.42.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.42.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.43.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.43.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.43.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.44.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.44.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.44.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.45.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.45.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.45.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.46.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.46.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.46.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.47.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.47.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.47.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.48.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.48.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.48.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.49.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.49.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.49.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.5.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.5.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.5.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.50.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.50.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.50.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.51.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.51.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.51.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.52.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.52.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.52.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.53.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.53.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.53.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.54.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.54.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.54.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.55.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.55.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.55.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.56.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.56.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.56.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.57.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.57.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.57.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.58.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.58.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.58.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.59.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.59.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.59.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.6.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.6.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.6.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.60.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.60.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.60.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.61.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.61.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.61.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.62.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.62.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.62.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.63.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.63.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.63.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.7.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.7.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.7.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.8.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.8.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.8.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.9.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.9.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.experts.9.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.gate.e_score_correction_bias": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.gate.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.shared_experts.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.shared_experts.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.shared_experts.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.kv_a_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.kv_a_proj_with_mqa.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.kv_b_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.0.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.0.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.0.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.1.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.1.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.1.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.10.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.10.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.10.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.11.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.11.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.11.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.12.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.12.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.12.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.13.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.13.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.13.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.14.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.14.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.14.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.15.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.15.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.15.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.16.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.16.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.16.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.17.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.17.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.17.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.18.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.18.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.18.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.19.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.19.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.19.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.2.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.2.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.2.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.20.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.20.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.20.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.21.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.21.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.21.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.22.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.22.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.22.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.23.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.23.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.23.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.24.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.24.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.24.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.25.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.25.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.25.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.26.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.26.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.26.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.27.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.27.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.27.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.28.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.28.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.28.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.29.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.29.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.29.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.3.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.3.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.3.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.30.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.30.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.30.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.31.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.31.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.31.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.32.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.32.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.32.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.33.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.33.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.33.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.34.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.34.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.34.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.35.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.35.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.35.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.36.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.36.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.36.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.37.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.37.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.37.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.38.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.38.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.38.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.39.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.39.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.39.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.4.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.4.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.4.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.40.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.40.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.40.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.41.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.41.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.41.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.42.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.42.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.42.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.43.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.43.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.43.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.44.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.44.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.44.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.45.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.45.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.45.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.46.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.46.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.46.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.47.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.47.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.47.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.48.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.48.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.48.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.49.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.49.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.49.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.5.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.5.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.5.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.50.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.50.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.50.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.51.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.51.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.51.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.52.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.52.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.52.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.53.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.53.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.53.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.54.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.54.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.54.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.55.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.55.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.55.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.56.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.56.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.56.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.57.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.57.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.57.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.58.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.58.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.58.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.59.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.59.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.59.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.6.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.6.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.6.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.60.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.60.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.60.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.61.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.61.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.61.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.62.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.62.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.62.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.63.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.63.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.63.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.7.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.7.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.7.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.8.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.8.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.8.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.9.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.9.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.experts.9.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.gate.e_score_correction_bias": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.gate.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.shared_experts.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.shared_experts.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.shared_experts.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.kv_a_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.kv_a_proj_with_mqa.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.kv_b_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.0.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.0.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.0.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.1.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.1.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.1.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.10.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.10.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.10.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.11.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.11.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.11.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.12.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.12.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.12.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.13.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.13.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.13.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.14.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.14.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.14.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.15.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.15.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.15.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.16.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.16.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.16.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.17.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.17.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.17.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.18.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.18.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.18.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.19.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.19.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.19.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.2.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.2.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.2.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.20.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.20.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.20.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.21.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.21.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.21.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.22.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.22.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.22.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.23.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.23.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.23.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.24.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.24.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.24.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.25.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.25.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.25.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.26.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.26.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.26.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.27.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.27.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.27.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.28.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.28.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.28.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.29.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.29.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.29.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.3.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.3.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.3.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.30.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.30.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.30.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.31.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.31.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.31.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.32.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.32.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.32.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.33.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.33.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.33.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.34.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.34.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.34.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.35.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.35.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.35.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.36.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.36.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.36.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.37.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.37.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.37.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.38.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.38.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.38.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.39.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.39.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.39.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.4.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.4.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.4.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.40.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.40.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.40.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.41.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.41.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.41.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.42.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.42.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.42.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.43.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.43.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.43.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.44.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.44.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.44.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.45.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.45.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.45.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.46.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.46.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.46.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.47.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.47.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.47.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.48.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.48.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.48.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.49.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.49.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.49.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.5.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.5.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.5.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.50.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.50.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.50.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.51.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.51.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.51.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.52.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.52.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.52.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.53.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.53.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.53.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.54.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.54.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.54.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.55.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.55.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.55.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.56.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.56.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.56.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.57.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.57.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.57.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.58.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.58.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.58.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.59.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.59.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.59.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.6.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.6.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.6.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.60.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.60.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.60.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.61.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.61.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.61.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.62.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.62.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.62.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.63.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.63.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.63.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.7.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.7.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.7.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.8.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.8.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.8.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.9.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.9.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.experts.9.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.gate.e_score_correction_bias": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.gate.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.shared_experts.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.shared_experts.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.shared_experts.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.kv_a_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.kv_a_proj_with_mqa.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.kv_b_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.0.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.0.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.0.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.1.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.1.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.1.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.10.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.10.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.10.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.11.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.11.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.11.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.12.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.12.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.12.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.13.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.13.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.13.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.14.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.14.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.14.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.15.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.15.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.15.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.16.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.16.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.16.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.17.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.17.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.17.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.18.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.18.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.18.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.19.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.19.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.19.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.2.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.2.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.2.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.20.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.20.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.20.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.21.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.21.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.21.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.22.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.22.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.22.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.23.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.23.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.23.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.24.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.24.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.24.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.25.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.25.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.25.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.26.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.26.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.26.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.27.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.27.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.27.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.28.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.28.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.28.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.29.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.29.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.29.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.3.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.3.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.3.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.30.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.30.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.30.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.31.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.31.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.31.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.32.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.32.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.32.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.33.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.33.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.33.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.34.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.34.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.34.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.35.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.35.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.35.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.36.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.36.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.36.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.37.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.37.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.37.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.38.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.38.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.38.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.39.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.39.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.39.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.4.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.4.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.4.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.40.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.40.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.40.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.41.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.41.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.41.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.42.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.42.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.42.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.43.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.43.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.43.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.44.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.44.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.44.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.45.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.45.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.45.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.46.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.46.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.46.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.47.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.47.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.47.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.48.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.48.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.48.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.49.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.49.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.49.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.5.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.5.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.5.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.50.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.50.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.50.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.51.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.51.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.51.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.52.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.52.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.52.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.53.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.53.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.53.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.54.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.54.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.54.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.55.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.55.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.55.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.56.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.56.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.56.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.57.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.57.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.57.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.58.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.58.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.58.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.59.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.59.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.59.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.6.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.6.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.6.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.60.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.60.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.60.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.61.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.61.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.61.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.62.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.62.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.62.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.63.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.63.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.63.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.experts.7.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.7.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.7.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.8.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.8.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.8.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.9.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.9.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.experts.9.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.gate.e_score_correction_bias": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.gate.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.shared_experts.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.shared_experts.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.mlp.shared_experts.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.13.self_attn.kv_a_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.kv_a_proj_with_mqa.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.kv_b_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.0.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.0.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.0.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.1.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.1.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.1.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.10.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.10.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.10.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.11.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.11.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.11.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.12.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.12.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.12.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.13.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.13.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.13.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.14.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.14.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.14.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.15.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.15.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.15.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.16.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.16.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.16.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.17.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.17.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.17.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.18.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.18.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.18.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.19.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.19.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.19.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.2.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.2.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.2.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.20.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.20.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.20.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.21.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.21.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.21.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.22.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.22.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.22.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.23.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.23.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.23.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.24.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.24.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.24.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.25.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.25.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.25.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.26.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.26.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.26.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.27.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.27.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.27.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.28.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.28.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.28.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.29.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.29.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.29.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.3.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.3.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.3.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.30.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.30.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.30.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.31.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.31.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.31.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.32.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.32.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.32.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.33.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.33.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.33.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.34.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.34.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.34.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.35.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.35.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.35.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.36.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.36.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.36.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.37.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.37.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.37.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.38.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.38.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.38.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.39.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.39.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.39.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.4.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.4.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.4.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.40.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.40.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.40.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.41.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.41.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.41.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.42.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.42.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.42.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.43.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.43.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.43.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.44.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.44.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.44.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.45.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.45.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.45.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.46.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.46.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.46.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.47.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.47.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.47.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.48.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.48.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.48.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.49.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.49.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.49.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.5.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.5.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.5.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.50.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.50.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.50.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.51.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.51.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.51.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.52.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.52.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.52.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.53.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.53.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.53.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.54.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.54.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.54.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.55.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.55.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.55.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.56.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.56.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.56.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.57.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.57.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.57.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.58.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.58.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.58.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.59.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.59.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.59.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.6.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.6.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.6.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.60.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.60.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.60.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.61.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.61.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.61.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.62.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.62.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.62.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.63.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.63.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.63.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.7.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.7.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.7.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.8.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.8.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.8.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.9.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.9.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.experts.9.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.gate.e_score_correction_bias": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.gate.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.shared_experts.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.shared_experts.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.shared_experts.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.kv_a_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.kv_a_proj_with_mqa.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.kv_b_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.0.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.0.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.0.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.1.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.1.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.1.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.10.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.10.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.10.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.11.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.11.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.11.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.12.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.12.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.12.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.13.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.13.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.13.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.14.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.14.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.14.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.15.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.15.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.15.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.16.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.16.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.16.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.17.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.17.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.17.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.18.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.18.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.18.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.19.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.19.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.19.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.2.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.2.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.2.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.20.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.20.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.20.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.21.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.21.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.21.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.22.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.22.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.22.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.23.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.23.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.23.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.24.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.24.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.24.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.25.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.25.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.25.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.26.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.26.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.26.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.27.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.27.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.27.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.28.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.28.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.28.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.29.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.29.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.29.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.3.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.3.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.3.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.30.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.30.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.30.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.31.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.31.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.31.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.32.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.32.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.32.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.33.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.33.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.33.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.34.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.34.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.34.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.35.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.35.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.35.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.36.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.36.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.36.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.37.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.37.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.37.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.38.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.38.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.38.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.39.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.39.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.39.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.4.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.4.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.4.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.40.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.40.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.40.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.41.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.41.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.41.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.42.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.42.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.42.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.43.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.43.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.43.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.44.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.44.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.44.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.45.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.45.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.45.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.46.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.46.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.46.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.47.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.47.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.47.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.48.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.48.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.48.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.49.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.49.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.49.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.5.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.5.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.5.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.50.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.50.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.50.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.51.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.51.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.51.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.52.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.52.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.52.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.53.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.53.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.53.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.54.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.54.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.54.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.55.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.55.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.55.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.56.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.56.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.56.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.57.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.57.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.57.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.58.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.58.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.58.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.59.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.59.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.59.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.6.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.6.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.6.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.60.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.60.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.60.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.61.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.61.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.61.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.62.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.62.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.62.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.63.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.63.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.63.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.7.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.7.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.7.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.8.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.8.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.8.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.9.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.9.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.experts.9.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.gate.e_score_correction_bias": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.gate.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.shared_experts.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.shared_experts.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.shared_experts.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.kv_a_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.kv_a_proj_with_mqa.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.kv_b_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.0.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.0.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.0.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.1.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.1.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.1.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.10.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.10.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.10.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.11.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.11.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.11.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.12.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.12.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.12.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.13.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.13.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.13.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.14.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.14.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.14.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.15.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.15.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.15.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.16.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.16.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.16.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.17.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.17.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.17.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.18.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.18.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.18.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.19.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.19.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.19.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.2.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.2.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.2.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.20.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.20.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.20.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.21.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.21.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.21.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.22.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.22.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.22.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.23.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.23.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.23.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.24.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.24.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.24.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.25.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.25.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.25.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.26.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.26.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.26.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.27.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.27.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.27.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.28.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.28.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.28.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.29.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.29.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.29.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.3.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.3.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.3.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.30.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.30.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.30.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.31.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.31.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.31.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.32.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.32.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.32.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.33.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.33.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.33.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.34.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.34.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.34.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.35.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.35.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.35.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.36.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.36.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.36.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.37.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.37.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.37.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.38.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.38.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.38.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.39.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.39.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.39.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.4.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.4.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.4.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.40.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.40.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.40.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.41.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.41.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.41.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.42.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.42.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.42.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.43.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.43.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.43.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.44.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.44.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.44.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.45.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.45.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.45.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.46.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.46.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.46.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.47.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.47.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.47.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.48.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.48.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.48.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.49.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.49.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.49.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.5.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.5.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.5.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.50.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.50.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.50.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.51.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.51.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.51.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.52.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.52.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.52.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.53.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.53.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.53.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.54.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.54.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.54.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.55.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.55.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.55.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.56.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.56.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.56.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.57.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.57.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.57.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.58.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.58.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.58.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.59.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.59.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.59.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.6.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.6.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.6.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.60.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.60.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.60.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.61.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.61.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.61.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.62.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.62.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.62.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.63.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.63.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.63.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.7.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.7.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.7.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.8.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.8.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.8.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.9.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.9.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.experts.9.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.gate.e_score_correction_bias": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.gate.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.shared_experts.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.shared_experts.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.shared_experts.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.kv_a_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.kv_a_proj_with_mqa.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.kv_b_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.0.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.0.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.0.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.1.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.1.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.1.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.10.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.10.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.10.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.11.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.11.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.11.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.12.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.12.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.12.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.13.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.13.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.13.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.14.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.14.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.14.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.15.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.15.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.15.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.16.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.16.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.16.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.17.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.17.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.17.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.18.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.18.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.18.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.19.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.19.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.19.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.2.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.2.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.2.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.20.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.20.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.20.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.21.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.21.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.21.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.22.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.22.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.22.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.23.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.23.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.23.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.24.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.24.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.24.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.25.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.25.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.25.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.26.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.26.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.26.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.27.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.27.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.27.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.28.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.28.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.28.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.29.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.29.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.29.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.3.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.3.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.3.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.30.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.30.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.30.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.31.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.31.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.31.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.32.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.32.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.32.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.33.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.33.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.33.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.34.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.34.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.34.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.35.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.35.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.35.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.36.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.36.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.36.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.37.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.37.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.37.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.38.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.38.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.38.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.39.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.39.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.39.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.4.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.4.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.4.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.40.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.40.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.40.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.41.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.41.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.41.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.42.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.42.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.42.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.43.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.43.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.43.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.44.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.44.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.44.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.45.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.45.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.45.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.46.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.46.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.46.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.47.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.47.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.47.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.48.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.48.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.48.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.49.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.49.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.49.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.5.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.5.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.5.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.50.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.50.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.50.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.51.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.51.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.51.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.52.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.52.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.52.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.53.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.53.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.53.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.54.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.54.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.54.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.55.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.55.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.55.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.56.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.56.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.56.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.57.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.57.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.57.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.58.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.58.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.58.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.59.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.59.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.59.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.6.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.6.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.6.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.60.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.60.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.60.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.61.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.61.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.61.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.62.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.62.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.62.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.63.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.63.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.63.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.experts.7.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.7.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.7.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.8.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.8.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.8.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.9.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.9.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.experts.9.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.gate.e_score_correction_bias": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.gate.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.shared_experts.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.shared_experts.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.mlp.shared_experts.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.17.self_attn.kv_a_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.kv_a_proj_with_mqa.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.kv_b_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.0.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.0.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.0.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.1.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.1.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.1.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.10.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.10.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.10.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.11.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.11.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.11.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.12.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.12.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.12.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.13.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.13.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.13.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.14.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.14.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.14.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.15.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.15.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.15.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.16.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.16.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.16.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.17.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.17.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.17.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.18.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.18.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.18.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.19.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.19.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.19.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.2.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.2.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.2.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.20.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.20.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.20.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.21.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.21.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.21.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.22.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.22.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.22.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.23.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.23.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.23.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.24.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.24.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.24.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.25.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.25.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.25.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.26.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.26.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.26.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.27.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.27.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.27.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.28.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.28.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.28.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.29.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.29.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.29.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.3.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.3.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.3.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.30.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.30.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.30.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.31.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.31.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.31.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.32.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.32.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.32.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.33.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.33.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.33.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.34.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.34.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.34.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.35.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.35.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.35.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.36.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.36.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.36.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.37.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.37.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.37.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.38.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.38.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.38.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.39.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.39.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.39.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.4.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.4.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.4.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.40.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.40.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.40.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.41.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.41.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.41.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.42.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.42.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.42.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.43.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.43.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.43.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.44.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.44.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.44.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.45.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.45.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.45.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.46.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.46.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.46.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.47.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.47.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.47.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.48.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.48.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.48.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.49.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.49.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.49.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.5.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.5.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.5.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.50.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.50.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.50.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.51.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.51.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.51.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.52.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.52.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.52.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.53.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.53.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.53.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.54.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.54.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.54.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.55.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.55.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.55.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.56.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.56.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.56.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.57.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.57.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.57.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.58.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.58.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.58.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.59.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.59.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.59.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.6.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.6.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.6.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.60.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.60.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.60.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.61.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.61.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.61.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.62.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.62.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.62.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.63.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.63.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.63.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.7.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.7.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.7.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.8.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.8.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.8.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.9.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.9.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.experts.9.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.gate.e_score_correction_bias": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.gate.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.shared_experts.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.shared_experts.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.mlp.shared_experts.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.18.self_attn.kv_a_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.18.self_attn.kv_a_proj_with_mqa.weight": "model-00005-of-00007.safetensors", + "model.layers.18.self_attn.kv_b_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.0.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.0.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.0.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.1.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.1.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.1.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.10.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.10.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.10.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.11.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.11.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.11.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.12.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.12.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.12.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.13.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.13.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.13.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.14.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.14.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.14.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.15.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.15.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.15.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.16.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.16.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.16.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.17.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.17.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.17.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.18.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.18.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.18.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.19.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.19.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.19.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.2.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.2.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.2.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.20.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.20.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.20.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.21.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.21.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.21.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.22.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.22.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.22.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.23.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.23.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.23.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.24.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.24.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.24.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.25.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.25.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.25.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.26.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.26.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.26.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.27.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.27.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.27.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.28.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.28.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.28.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.29.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.29.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.29.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.3.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.3.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.3.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.30.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.30.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.30.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.31.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.31.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.31.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.32.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.32.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.32.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.33.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.33.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.33.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.34.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.34.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.34.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.35.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.35.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.35.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.36.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.36.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.36.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.37.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.37.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.37.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.38.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.38.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.38.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.39.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.39.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.39.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.4.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.4.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.4.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.40.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.40.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.40.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.41.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.41.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.41.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.42.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.42.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.42.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.43.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.43.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.43.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.44.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.44.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.44.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.45.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.45.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.45.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.46.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.46.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.46.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.47.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.47.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.47.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.48.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.48.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.48.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.49.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.49.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.49.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.5.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.5.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.5.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.50.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.50.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.50.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.51.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.51.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.51.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.52.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.52.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.52.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.53.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.53.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.53.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.54.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.54.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.54.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.55.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.55.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.55.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.56.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.56.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.56.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.57.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.57.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.57.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.58.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.58.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.58.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.59.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.59.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.59.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.6.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.6.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.6.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.60.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.60.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.60.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.61.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.61.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.61.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.62.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.62.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.62.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.63.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.63.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.63.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.7.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.7.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.7.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.8.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.8.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.8.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.9.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.9.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.experts.9.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.gate.e_score_correction_bias": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.gate.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.shared_experts.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.shared_experts.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.shared_experts.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.kv_a_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.kv_a_proj_with_mqa.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.kv_b_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.0.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.0.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.0.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.1.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.1.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.1.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.10.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.10.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.10.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.11.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.11.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.11.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.12.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.12.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.12.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.13.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.13.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.13.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.14.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.14.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.14.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.15.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.15.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.15.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.16.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.16.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.16.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.17.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.17.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.17.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.18.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.18.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.18.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.19.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.19.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.19.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.2.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.2.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.2.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.20.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.20.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.20.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.21.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.21.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.21.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.22.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.22.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.22.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.23.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.23.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.23.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.24.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.24.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.24.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.25.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.25.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.25.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.26.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.26.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.26.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.27.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.27.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.27.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.28.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.28.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.28.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.29.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.29.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.29.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.3.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.3.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.3.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.30.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.30.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.30.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.31.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.31.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.31.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.32.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.32.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.32.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.33.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.33.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.33.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.34.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.34.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.34.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.35.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.35.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.35.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.36.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.36.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.36.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.37.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.37.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.37.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.38.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.38.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.38.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.39.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.39.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.39.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.4.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.4.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.4.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.40.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.40.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.40.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.41.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.41.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.41.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.42.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.42.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.42.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.43.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.43.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.43.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.44.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.44.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.44.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.45.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.45.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.45.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.46.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.46.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.46.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.47.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.47.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.47.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.48.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.48.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.48.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.49.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.49.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.49.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.5.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.5.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.5.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.50.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.50.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.50.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.51.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.51.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.51.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.52.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.52.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.52.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.53.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.53.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.53.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.54.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.54.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.54.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.55.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.55.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.55.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.56.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.56.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.56.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.57.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.57.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.57.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.58.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.58.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.58.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.59.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.59.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.59.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.6.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.6.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.6.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.60.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.60.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.60.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.61.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.61.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.61.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.62.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.62.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.62.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.63.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.63.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.63.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.7.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.7.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.7.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.8.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.8.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.8.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.9.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.9.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.experts.9.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.gate.e_score_correction_bias": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.gate.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.shared_experts.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.shared_experts.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.shared_experts.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.kv_a_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.kv_b_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.0.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.0.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.0.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.1.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.1.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.1.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.10.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.10.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.10.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.11.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.11.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.11.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.12.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.12.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.12.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.13.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.13.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.13.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.14.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.14.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.14.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.15.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.15.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.15.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.16.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.16.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.16.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.17.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.17.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.17.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.18.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.18.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.18.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.19.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.19.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.19.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.2.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.2.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.2.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.20.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.20.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.20.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.21.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.21.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.21.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.22.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.22.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.22.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.23.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.23.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.23.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.24.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.24.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.24.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.25.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.25.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.25.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.26.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.26.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.26.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.27.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.27.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.27.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.28.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.28.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.28.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.29.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.29.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.29.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.3.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.3.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.3.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.30.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.30.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.30.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.31.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.31.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.31.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.32.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.32.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.32.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.33.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.33.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.33.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.34.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.34.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.34.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.35.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.35.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.35.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.36.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.36.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.36.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.37.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.37.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.37.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.38.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.38.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.38.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.39.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.39.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.39.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.4.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.4.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.4.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.40.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.40.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.40.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.41.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.41.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.41.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.42.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.42.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.42.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.43.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.43.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.43.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.44.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.44.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.44.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.45.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.45.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.45.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.46.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.46.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.46.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.47.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.47.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.47.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.48.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.48.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.48.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.49.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.49.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.49.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.5.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.5.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.5.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.50.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.50.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.50.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.51.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.51.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.51.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.52.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.52.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.52.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.53.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.53.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.53.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.54.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.54.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.54.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.55.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.55.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.55.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.56.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.56.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.56.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.57.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.57.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.57.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.58.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.58.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.58.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.59.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.59.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.59.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.6.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.6.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.6.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.60.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.60.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.60.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.61.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.61.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.61.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.62.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.62.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.62.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.63.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.63.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.63.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.7.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.7.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.7.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.8.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.8.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.8.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.9.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.9.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.experts.9.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.gate.e_score_correction_bias": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.gate.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.shared_experts.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.shared_experts.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.shared_experts.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.kv_a_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.kv_a_proj_with_mqa.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.kv_b_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.0.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.0.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.0.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.1.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.1.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.1.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.10.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.10.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.10.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.11.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.11.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.11.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.12.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.12.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.12.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.13.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.13.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.13.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.14.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.14.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.14.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.15.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.15.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.15.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.16.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.16.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.16.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.17.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.17.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.17.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.18.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.18.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.18.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.19.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.19.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.19.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.2.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.2.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.2.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.20.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.20.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.20.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.21.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.21.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.21.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.22.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.22.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.22.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.23.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.23.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.23.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.24.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.24.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.24.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.25.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.25.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.25.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.26.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.26.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.26.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.27.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.27.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.27.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.28.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.28.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.28.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.29.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.29.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.29.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.3.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.3.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.3.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.30.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.30.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.30.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.31.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.31.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.31.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.32.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.32.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.32.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.33.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.33.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.33.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.34.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.34.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.34.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.35.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.35.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.35.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.36.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.36.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.36.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.37.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.37.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.37.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.38.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.38.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.38.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.39.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.39.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.39.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.4.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.4.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.4.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.40.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.40.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.40.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.41.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.41.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.41.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.42.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.42.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.42.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.43.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.43.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.43.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.44.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.44.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.44.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.45.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.45.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.45.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.46.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.46.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.46.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.47.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.47.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.47.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.48.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.48.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.48.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.49.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.49.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.49.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.5.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.5.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.5.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.50.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.50.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.50.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.51.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.51.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.51.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.52.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.52.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.52.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.53.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.53.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.53.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.54.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.54.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.54.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.55.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.55.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.55.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.56.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.56.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.56.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.57.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.57.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.57.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.58.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.58.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.58.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.59.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.59.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.59.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.6.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.6.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.6.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.60.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.60.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.60.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.61.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.61.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.61.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.62.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.62.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.62.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.63.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.63.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.63.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.7.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.7.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.7.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.8.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.8.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.8.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.9.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.9.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.experts.9.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.gate.e_score_correction_bias": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.gate.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.shared_experts.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.shared_experts.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.shared_experts.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.kv_a_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.kv_a_proj_with_mqa.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.kv_b_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.0.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.0.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.0.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.1.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.1.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.1.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.10.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.10.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.10.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.11.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.11.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.11.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.12.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.12.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.12.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.13.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.13.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.13.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.14.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.14.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.14.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.15.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.15.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.15.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.16.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.16.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.16.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.17.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.17.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.17.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.18.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.18.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.18.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.19.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.19.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.19.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.2.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.2.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.2.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.20.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.20.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.20.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.21.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.21.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.21.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.22.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.22.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.22.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.23.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.23.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.23.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.24.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.24.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.24.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.25.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.25.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.25.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.26.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.26.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.26.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.27.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.27.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.27.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.28.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.28.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.28.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.29.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.29.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.29.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.3.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.3.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.3.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.30.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.30.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.30.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.31.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.31.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.31.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.32.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.32.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.32.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.33.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.33.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.33.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.34.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.34.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.34.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.35.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.35.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.35.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.36.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.36.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.36.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.37.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.37.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.37.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.38.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.38.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.38.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.39.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.39.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.39.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.4.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.4.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.4.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.40.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.40.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.40.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.41.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.41.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.41.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.42.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.42.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.42.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.43.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.43.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.43.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.44.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.44.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.44.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.45.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.45.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.45.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.46.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.46.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.46.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.47.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.47.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.47.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.48.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.48.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.48.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.49.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.49.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.49.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.5.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.5.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.5.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.50.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.50.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.50.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.51.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.51.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.51.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.52.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.52.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.52.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.53.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.53.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.53.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.54.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.54.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.54.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.55.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.55.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.55.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.56.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.56.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.56.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.57.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.57.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.57.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.58.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.58.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.58.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.59.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.59.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.59.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.6.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.6.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.6.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.60.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.60.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.60.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.61.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.61.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.61.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.62.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.62.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.62.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.63.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.63.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.63.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.7.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.7.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.7.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.8.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.8.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.8.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.9.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.9.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.experts.9.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.gate.e_score_correction_bias": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.gate.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.shared_experts.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.shared_experts.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.mlp.shared_experts.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.22.self_attn.kv_a_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.kv_a_proj_with_mqa.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.kv_b_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.0.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.0.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.0.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.1.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.1.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.1.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.10.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.10.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.10.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.11.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.11.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.11.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.12.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.12.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.12.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.13.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.13.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.13.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.14.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.14.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.14.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.15.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.15.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.15.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.16.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.16.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.16.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.17.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.17.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.17.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.18.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.18.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.18.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.19.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.19.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.19.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.2.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.2.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.2.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.20.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.20.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.20.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.21.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.21.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.21.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.22.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.22.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.22.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.23.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.23.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.23.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.24.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.24.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.24.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.25.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.25.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.25.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.26.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.26.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.26.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.27.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.27.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.27.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.28.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.28.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.28.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.29.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.29.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.29.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.3.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.3.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.3.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.30.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.30.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.30.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.31.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.31.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.31.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.32.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.32.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.32.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.33.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.33.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.33.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.34.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.34.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.34.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.35.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.35.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.35.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.36.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.36.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.36.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.37.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.37.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.37.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.38.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.38.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.38.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.39.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.39.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.39.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.4.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.4.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.4.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.40.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.40.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.40.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.41.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.41.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.41.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.42.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.42.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.42.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.43.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.43.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.43.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.44.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.44.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.44.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.45.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.45.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.45.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.46.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.46.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.46.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.47.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.47.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.47.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.48.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.48.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.48.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.49.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.49.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.49.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.5.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.5.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.5.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.50.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.50.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.50.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.51.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.51.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.51.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.52.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.52.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.52.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.53.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.53.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.53.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.54.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.54.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.54.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.55.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.55.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.55.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.56.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.56.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.56.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.57.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.57.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.57.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.58.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.58.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.58.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.59.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.59.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.59.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.6.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.6.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.6.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.60.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.60.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.60.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.61.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.61.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.61.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.62.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.62.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.62.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.63.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.63.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.63.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.7.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.7.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.7.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.8.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.8.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.8.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.9.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.9.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.experts.9.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.gate.e_score_correction_bias": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.gate.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.shared_experts.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.shared_experts.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.shared_experts.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.23.self_attn.kv_a_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.23.self_attn.kv_a_proj_with_mqa.weight": "model-00006-of-00007.safetensors", + "model.layers.23.self_attn.kv_b_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.0.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.0.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.0.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.1.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.1.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.1.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.10.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.10.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.10.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.11.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.11.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.11.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.12.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.12.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.12.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.13.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.13.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.13.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.14.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.14.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.14.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.15.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.15.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.15.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.16.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.16.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.16.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.17.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.17.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.17.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.18.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.18.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.18.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.19.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.19.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.19.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.2.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.2.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.2.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.20.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.20.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.20.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.21.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.21.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.21.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.22.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.22.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.22.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.23.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.23.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.23.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.24.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.24.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.24.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.25.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.25.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.25.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.26.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.26.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.26.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.27.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.27.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.27.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.28.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.28.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.28.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.29.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.29.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.29.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.3.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.3.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.3.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.30.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.30.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.30.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.31.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.31.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.31.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.32.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.32.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.32.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.33.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.33.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.33.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.34.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.34.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.34.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.35.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.35.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.35.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.36.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.36.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.36.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.37.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.37.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.37.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.38.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.38.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.38.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.39.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.39.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.39.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.4.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.4.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.4.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.40.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.40.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.40.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.41.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.41.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.41.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.42.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.42.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.42.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.43.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.43.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.43.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.44.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.44.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.44.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.45.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.45.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.45.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.46.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.46.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.46.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.47.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.47.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.47.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.48.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.48.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.48.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.49.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.49.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.49.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.5.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.5.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.5.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.50.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.50.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.50.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.51.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.51.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.51.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.52.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.52.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.52.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.53.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.53.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.53.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.54.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.54.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.54.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.55.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.55.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.55.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.56.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.56.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.56.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.57.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.57.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.57.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.58.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.58.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.58.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.59.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.59.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.59.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.6.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.6.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.6.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.60.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.60.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.60.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.61.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.61.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.61.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.62.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.62.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.62.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.63.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.63.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.63.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.7.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.7.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.7.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.8.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.8.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.8.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.9.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.9.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.experts.9.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.gate.e_score_correction_bias": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.gate.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.shared_experts.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.shared_experts.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.shared_experts.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.kv_a_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.kv_a_proj_with_mqa.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.kv_b_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.0.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.0.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.0.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.1.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.1.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.1.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.10.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.10.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.10.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.11.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.11.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.11.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.12.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.12.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.12.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.13.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.13.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.13.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.14.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.14.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.14.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.15.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.15.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.15.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.16.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.16.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.16.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.17.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.17.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.17.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.18.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.18.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.18.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.19.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.19.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.19.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.2.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.2.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.2.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.20.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.20.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.20.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.21.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.21.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.21.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.22.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.22.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.22.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.23.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.23.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.23.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.24.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.24.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.24.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.25.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.25.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.25.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.26.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.26.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.26.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.27.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.27.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.27.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.28.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.28.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.28.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.29.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.29.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.29.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.3.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.3.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.3.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.30.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.30.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.30.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.31.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.31.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.31.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.32.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.32.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.32.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.33.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.33.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.33.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.34.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.34.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.34.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.35.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.35.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.35.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.36.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.36.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.36.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.37.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.37.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.37.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.38.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.38.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.38.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.39.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.39.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.39.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.4.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.4.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.4.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.40.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.40.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.40.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.41.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.41.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.41.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.42.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.42.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.42.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.43.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.43.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.43.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.44.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.44.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.44.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.45.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.45.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.45.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.46.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.46.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.46.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.47.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.47.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.47.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.48.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.48.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.48.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.49.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.49.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.49.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.5.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.5.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.5.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.50.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.50.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.50.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.51.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.51.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.51.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.52.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.52.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.52.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.53.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.53.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.53.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.54.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.54.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.54.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.55.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.55.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.55.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.56.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.56.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.56.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.57.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.57.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.57.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.58.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.58.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.58.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.59.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.59.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.59.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.6.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.6.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.6.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.60.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.60.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.60.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.61.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.61.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.61.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.62.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.62.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.62.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.63.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.63.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.63.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.7.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.7.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.7.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.8.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.8.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.8.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.9.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.9.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.experts.9.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.gate.e_score_correction_bias": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.gate.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.shared_experts.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.shared_experts.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.shared_experts.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.kv_a_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.kv_a_proj_with_mqa.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.kv_b_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.input_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.0.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.0.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.0.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.1.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.1.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.1.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.10.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.10.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.10.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.11.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.11.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.11.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.12.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.12.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.12.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.13.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.13.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.13.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.14.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.14.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.14.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.15.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.15.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.15.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.16.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.16.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.16.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.17.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.17.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.17.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.18.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.18.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.18.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.19.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.19.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.19.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.2.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.2.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.2.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.20.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.20.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.20.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.21.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.21.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.21.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.22.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.22.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.22.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.23.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.23.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.23.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.24.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.24.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.24.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.25.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.25.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.25.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.26.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.26.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.26.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.27.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.27.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.27.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.28.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.28.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.28.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.29.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.29.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.29.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.3.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.3.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.3.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.30.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.30.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.30.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.31.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.31.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.31.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.32.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.32.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.32.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.33.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.33.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.33.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.34.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.34.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.34.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.35.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.35.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.35.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.36.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.36.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.36.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.37.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.37.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.37.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.38.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.38.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.38.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.39.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.39.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.39.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.4.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.4.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.4.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.40.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.40.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.40.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.41.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.41.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.41.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.42.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.42.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.42.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.43.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.43.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.43.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.44.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.44.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.44.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.45.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.45.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.45.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.46.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.46.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.46.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.47.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.47.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.47.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.48.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.48.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.48.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.49.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.49.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.49.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.5.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.5.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.5.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.50.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.50.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.50.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.51.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.51.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.51.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.52.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.52.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.52.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.53.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.53.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.53.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.54.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.54.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.54.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.55.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.55.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.55.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.56.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.56.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.56.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.57.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.57.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.57.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.58.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.58.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.58.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.59.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.59.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.59.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.6.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.6.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.6.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.60.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.60.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.60.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.61.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.61.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.61.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.62.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.62.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.62.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.63.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.63.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.63.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.experts.7.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.7.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.7.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.8.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.8.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.8.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.9.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.9.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.experts.9.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.gate.e_score_correction_bias": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.gate.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.shared_experts.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.shared_experts.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.mlp.shared_experts.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.26.self_attn.kv_a_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.kv_a_proj_with_mqa.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.kv_b_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.input_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.0.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.0.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.0.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.1.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.1.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.1.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.10.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.10.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.10.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.11.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.11.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.11.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.12.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.12.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.12.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.13.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.13.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.13.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.14.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.14.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.14.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.15.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.15.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.15.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.16.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.16.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.16.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.17.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.17.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.17.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.18.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.18.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.18.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.19.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.19.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.19.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.2.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.2.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.2.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.20.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.20.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.20.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.21.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.21.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.21.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.22.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.22.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.22.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.23.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.23.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.23.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.24.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.24.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.24.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.25.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.25.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.25.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.26.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.26.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.26.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.27.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.27.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.27.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.28.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.28.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.28.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.29.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.29.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.29.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.3.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.3.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.3.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.30.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.30.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.30.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.31.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.31.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.31.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.32.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.32.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.32.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.33.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.33.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.33.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.34.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.34.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.34.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.35.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.35.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.35.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.36.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.36.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.36.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.37.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.37.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.37.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.38.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.38.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.38.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.39.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.39.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.39.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.4.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.4.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.4.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.40.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.40.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.40.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.41.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.41.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.41.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.42.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.42.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.42.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.43.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.43.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.43.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.44.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.44.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.44.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.45.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.45.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.45.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.46.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.46.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.46.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.47.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.47.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.47.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.48.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.48.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.48.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.49.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.49.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.49.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.5.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.5.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.5.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.50.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.50.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.50.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.51.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.51.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.51.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.52.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.52.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.52.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.53.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.53.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.53.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.54.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.54.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.54.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.55.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.55.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.55.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.56.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.56.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.56.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.57.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.57.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.57.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.58.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.58.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.58.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.59.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.59.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.59.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.6.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.6.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.6.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.60.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.60.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.60.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.61.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.61.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.61.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.62.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.62.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.62.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.63.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.63.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.63.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.7.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.7.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.7.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.8.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.8.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.8.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.9.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.9.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.experts.9.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.gate.e_score_correction_bias": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.gate.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.shared_experts.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.shared_experts.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.mlp.shared_experts.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.27.self_attn.kv_a_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.27.self_attn.kv_a_proj_with_mqa.weight": "model-00007-of-00007.safetensors", + "model.layers.27.self_attn.kv_b_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.0.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.0.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.0.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.1.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.1.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.1.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.10.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.10.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.10.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.11.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.11.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.11.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.12.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.12.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.12.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.13.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.13.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.13.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.14.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.14.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.14.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.15.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.15.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.15.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.16.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.16.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.16.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.17.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.17.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.17.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.18.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.18.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.18.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.19.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.19.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.19.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.2.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.2.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.2.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.20.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.20.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.20.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.21.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.21.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.21.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.22.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.22.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.22.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.23.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.23.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.23.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.24.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.24.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.24.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.25.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.25.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.25.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.26.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.26.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.26.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.27.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.27.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.27.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.28.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.28.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.28.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.29.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.29.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.29.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.3.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.3.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.3.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.30.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.30.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.30.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.31.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.31.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.31.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.32.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.32.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.32.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.33.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.33.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.33.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.34.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.34.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.34.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.35.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.35.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.35.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.36.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.36.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.36.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.37.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.37.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.37.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.38.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.38.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.38.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.39.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.39.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.39.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.4.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.4.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.4.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.40.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.40.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.40.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.41.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.41.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.41.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.42.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.42.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.42.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.43.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.43.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.43.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.44.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.44.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.44.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.45.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.45.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.45.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.46.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.46.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.46.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.47.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.47.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.47.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.48.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.48.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.48.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.49.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.49.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.49.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.5.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.5.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.5.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.50.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.50.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.50.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.51.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.51.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.51.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.52.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.52.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.52.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.53.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.53.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.53.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.54.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.54.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.54.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.55.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.55.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.55.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.56.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.56.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.56.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.57.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.57.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.57.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.58.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.58.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.58.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.59.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.59.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.59.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.6.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.6.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.6.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.60.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.60.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.60.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.61.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.61.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.61.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.62.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.62.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.62.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.63.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.63.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.63.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.7.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.7.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.7.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.8.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.8.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.8.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.9.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.9.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.experts.9.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.gate.e_score_correction_bias": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.gate.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.shared_experts.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.shared_experts.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.shared_experts.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.kv_a_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.kv_b_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.0.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.0.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.0.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.1.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.1.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.1.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.10.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.10.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.10.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.11.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.11.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.11.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.12.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.12.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.12.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.13.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.13.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.13.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.14.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.14.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.14.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.15.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.15.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.15.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.16.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.16.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.16.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.17.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.17.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.17.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.18.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.18.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.18.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.19.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.19.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.19.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.2.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.2.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.2.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.20.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.20.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.20.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.21.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.21.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.21.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.22.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.22.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.22.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.23.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.23.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.23.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.24.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.24.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.24.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.25.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.25.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.25.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.26.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.26.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.26.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.27.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.27.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.27.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.28.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.28.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.28.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.29.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.29.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.29.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.3.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.3.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.3.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.30.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.30.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.30.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.31.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.31.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.31.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.32.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.32.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.32.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.33.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.33.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.33.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.34.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.34.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.34.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.35.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.35.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.35.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.36.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.36.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.36.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.37.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.37.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.37.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.38.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.38.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.38.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.39.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.39.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.39.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.4.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.4.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.4.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.40.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.40.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.40.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.41.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.41.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.41.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.42.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.42.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.42.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.43.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.43.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.43.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.44.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.44.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.44.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.45.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.45.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.45.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.46.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.46.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.46.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.47.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.47.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.47.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.48.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.48.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.48.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.49.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.49.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.49.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.5.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.5.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.5.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.50.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.50.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.50.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.51.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.51.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.51.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.52.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.52.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.52.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.53.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.53.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.53.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.54.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.54.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.54.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.55.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.55.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.55.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.56.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.56.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.56.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.57.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.57.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.57.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.58.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.58.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.58.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.59.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.59.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.59.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.6.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.6.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.6.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.60.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.60.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.60.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.61.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.61.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.61.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.62.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.62.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.62.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.63.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.63.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.63.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.experts.7.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.7.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.7.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.8.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.8.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.8.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.9.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.9.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.experts.9.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.mlp.gate.e_score_correction_bias": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.gate.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.shared_experts.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.shared_experts.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.shared_experts.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.4.self_attn.kv_a_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.4.self_attn.kv_a_proj_with_mqa.weight": "model-00001-of-00007.safetensors", + "model.layers.4.self_attn.kv_b_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.0.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.0.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.0.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.1.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.1.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.1.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.10.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.10.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.10.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.11.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.11.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.11.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.12.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.12.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.12.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.13.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.13.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.13.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.14.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.14.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.14.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.15.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.15.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.15.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.16.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.16.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.16.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.17.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.17.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.17.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.18.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.18.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.18.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.19.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.19.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.19.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.2.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.2.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.2.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.20.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.20.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.20.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.21.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.21.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.21.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.22.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.22.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.22.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.23.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.23.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.23.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.24.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.24.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.24.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.25.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.25.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.25.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.26.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.26.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.26.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.27.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.27.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.27.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.28.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.28.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.28.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.29.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.29.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.29.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.3.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.3.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.3.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.30.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.30.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.30.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.31.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.31.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.31.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.32.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.32.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.32.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.33.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.33.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.33.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.34.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.34.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.34.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.35.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.35.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.35.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.36.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.36.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.36.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.37.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.37.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.37.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.38.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.38.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.38.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.39.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.39.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.39.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.4.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.4.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.4.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.40.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.40.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.40.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.41.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.41.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.41.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.42.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.42.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.42.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.43.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.43.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.43.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.44.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.44.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.44.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.45.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.45.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.45.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.46.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.46.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.46.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.47.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.47.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.47.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.48.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.48.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.48.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.49.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.49.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.49.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.5.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.5.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.5.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.50.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.50.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.50.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.51.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.51.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.51.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.52.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.52.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.52.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.53.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.53.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.53.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.54.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.54.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.54.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.55.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.55.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.55.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.56.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.56.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.56.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.57.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.57.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.57.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.58.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.58.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.58.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.59.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.59.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.59.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.6.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.6.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.6.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.60.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.60.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.60.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.61.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.61.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.61.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.62.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.62.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.62.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.63.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.63.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.63.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.7.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.7.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.7.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.8.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.8.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.8.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.9.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.9.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.experts.9.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.gate.e_score_correction_bias": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.gate.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.shared_experts.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.shared_experts.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.shared_experts.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.kv_a_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.kv_a_proj_with_mqa.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.kv_b_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.0.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.0.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.0.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.1.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.1.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.1.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.10.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.10.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.10.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.11.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.11.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.11.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.12.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.12.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.12.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.13.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.13.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.13.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.14.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.14.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.14.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.15.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.15.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.15.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.16.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.16.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.16.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.17.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.17.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.17.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.18.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.18.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.18.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.19.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.19.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.19.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.2.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.2.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.2.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.20.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.20.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.20.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.21.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.21.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.21.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.22.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.22.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.22.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.23.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.23.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.23.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.24.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.24.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.24.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.25.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.25.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.25.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.26.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.26.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.26.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.27.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.27.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.27.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.28.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.28.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.28.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.29.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.29.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.29.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.3.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.3.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.3.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.30.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.30.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.30.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.31.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.31.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.31.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.32.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.32.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.32.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.33.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.33.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.33.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.34.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.34.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.34.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.35.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.35.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.35.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.36.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.36.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.36.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.37.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.37.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.37.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.38.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.38.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.38.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.39.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.39.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.39.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.4.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.4.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.4.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.40.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.40.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.40.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.41.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.41.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.41.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.42.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.42.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.42.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.43.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.43.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.43.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.44.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.44.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.44.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.45.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.45.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.45.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.46.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.46.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.46.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.47.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.47.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.47.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.48.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.48.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.48.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.49.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.49.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.49.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.5.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.5.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.5.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.50.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.50.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.50.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.51.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.51.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.51.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.52.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.52.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.52.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.53.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.53.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.53.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.54.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.54.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.54.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.55.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.55.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.55.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.56.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.56.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.56.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.57.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.57.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.57.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.58.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.58.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.58.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.59.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.59.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.59.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.6.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.6.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.6.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.60.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.60.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.60.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.61.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.61.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.61.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.62.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.62.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.62.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.63.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.63.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.63.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.7.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.7.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.7.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.8.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.8.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.8.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.9.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.9.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.experts.9.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.gate.e_score_correction_bias": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.gate.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.shared_experts.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.shared_experts.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.shared_experts.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.kv_a_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.kv_a_proj_with_mqa.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.kv_b_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.0.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.0.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.0.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.1.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.1.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.1.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.10.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.10.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.10.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.11.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.11.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.11.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.12.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.12.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.12.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.13.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.13.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.13.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.14.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.14.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.14.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.15.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.15.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.15.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.16.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.16.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.16.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.17.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.17.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.17.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.18.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.18.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.18.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.19.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.19.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.19.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.2.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.2.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.2.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.20.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.20.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.20.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.21.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.21.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.21.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.22.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.22.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.22.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.23.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.23.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.23.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.24.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.24.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.24.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.25.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.25.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.25.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.26.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.26.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.26.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.27.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.27.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.27.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.28.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.28.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.28.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.29.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.29.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.29.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.3.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.3.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.3.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.30.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.30.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.30.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.31.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.31.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.31.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.32.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.32.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.32.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.33.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.33.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.33.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.34.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.34.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.34.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.35.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.35.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.35.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.36.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.36.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.36.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.37.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.37.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.37.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.38.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.38.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.38.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.39.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.39.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.39.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.4.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.4.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.4.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.40.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.40.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.40.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.41.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.41.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.41.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.42.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.42.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.42.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.43.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.43.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.43.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.44.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.44.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.44.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.45.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.45.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.45.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.46.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.46.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.46.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.47.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.47.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.47.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.48.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.48.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.48.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.49.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.49.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.49.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.5.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.5.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.5.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.50.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.50.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.50.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.51.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.51.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.51.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.52.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.52.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.52.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.53.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.53.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.53.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.54.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.54.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.54.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.55.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.55.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.55.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.56.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.56.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.56.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.57.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.57.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.57.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.58.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.58.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.58.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.59.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.59.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.59.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.6.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.6.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.6.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.60.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.60.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.60.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.61.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.61.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.61.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.62.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.62.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.62.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.63.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.63.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.63.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.7.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.7.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.7.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.8.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.8.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.8.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.9.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.9.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.experts.9.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.gate.e_score_correction_bias": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.gate.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.shared_experts.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.shared_experts.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.shared_experts.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.kv_a_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.kv_a_proj_with_mqa.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.kv_b_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.0.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.0.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.0.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.1.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.1.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.1.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.10.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.10.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.10.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.11.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.11.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.11.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.12.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.12.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.12.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.13.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.13.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.13.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.14.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.14.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.14.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.15.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.15.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.15.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.16.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.16.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.16.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.17.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.17.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.17.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.18.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.18.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.18.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.19.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.19.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.19.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.2.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.2.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.2.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.20.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.20.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.20.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.21.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.21.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.21.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.22.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.22.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.22.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.23.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.23.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.23.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.24.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.24.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.24.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.25.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.25.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.25.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.26.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.26.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.26.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.27.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.27.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.27.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.28.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.28.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.28.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.29.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.29.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.29.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.3.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.3.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.3.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.30.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.30.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.30.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.31.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.31.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.31.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.32.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.32.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.32.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.33.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.33.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.33.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.34.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.34.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.34.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.35.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.35.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.35.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.36.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.36.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.36.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.37.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.37.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.37.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.38.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.38.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.38.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.39.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.39.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.39.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.4.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.4.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.4.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.40.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.40.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.40.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.41.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.41.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.41.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.42.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.42.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.42.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.43.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.43.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.43.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.44.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.44.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.44.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.45.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.45.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.45.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.46.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.46.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.46.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.47.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.47.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.47.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.48.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.48.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.48.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.49.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.49.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.49.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.5.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.5.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.5.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.50.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.50.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.50.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.51.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.51.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.51.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.52.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.52.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.52.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.53.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.53.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.53.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.54.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.54.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.54.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.55.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.55.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.55.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.56.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.56.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.56.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.57.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.57.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.57.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.58.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.58.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.58.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.59.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.59.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.59.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.6.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.6.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.6.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.60.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.60.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.60.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.61.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.61.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.61.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.62.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.62.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.62.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.63.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.63.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.63.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.7.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.7.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.7.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.8.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.8.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.8.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.9.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.9.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.experts.9.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.gate.e_score_correction_bias": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.gate.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.shared_experts.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.shared_experts.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.shared_experts.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.kv_a_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.kv_a_proj_with_mqa.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.kv_b_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.0.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.0.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.0.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.1.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.1.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.1.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.10.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.10.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.10.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.11.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.11.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.11.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.12.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.12.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.12.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.13.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.13.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.13.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.14.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.14.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.14.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.15.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.15.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.15.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.16.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.16.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.16.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.17.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.17.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.17.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.18.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.18.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.18.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.19.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.19.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.19.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.2.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.2.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.2.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.20.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.20.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.20.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.21.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.21.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.21.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.22.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.22.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.22.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.23.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.23.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.23.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.24.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.24.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.24.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.25.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.25.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.25.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.26.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.26.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.26.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.27.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.27.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.27.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.28.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.28.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.28.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.29.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.29.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.29.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.3.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.3.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.3.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.30.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.30.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.30.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.31.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.31.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.31.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.32.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.32.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.32.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.33.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.33.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.33.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.34.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.34.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.34.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.35.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.35.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.35.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.36.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.36.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.36.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.37.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.37.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.37.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.38.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.38.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.38.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.39.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.39.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.39.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.4.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.4.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.4.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.40.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.40.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.40.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.41.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.41.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.41.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.42.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.42.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.42.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.43.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.43.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.43.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.44.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.44.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.44.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.45.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.45.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.45.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.46.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.46.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.46.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.47.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.47.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.47.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.48.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.48.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.48.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.49.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.49.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.49.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.5.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.5.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.5.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.50.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.50.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.50.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.51.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.51.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.51.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.52.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.52.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.52.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.53.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.53.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.53.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.54.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.54.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.54.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.55.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.55.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.55.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.56.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.56.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.56.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.57.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.57.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.57.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.58.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.58.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.58.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.59.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.59.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.59.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.6.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.6.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.6.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.60.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.60.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.60.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.61.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.61.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.61.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.62.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.62.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.62.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.63.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.63.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.63.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.7.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.7.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.7.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.8.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.8.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.8.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.9.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.9.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.experts.9.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.gate.e_score_correction_bias": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.gate.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.shared_experts.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.shared_experts.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.shared_experts.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.9.self_attn.kv_a_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.9.self_attn.kv_a_proj_with_mqa.weight": "model-00002-of-00007.safetensors", + "model.layers.9.self_attn.kv_b_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.norm.weight": "model-00007-of-00007.safetensors" + } +} diff --git a/modeling_deepseek.py b/modeling_deepseek.py new file mode 100644 index 0000000..707925a --- /dev/null +++ b/modeling_deepseek.py @@ -0,0 +1,1808 @@ +# coding=utf-8 +# Copyright 2023 DeepSeek-AI and The HuggingFace Inc. team. All rights reserved. +# +# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX +# and OPT implementations in this library. It has been modified from its +# original forms to accommodate minor architectural differences compared +# to GPT-NeoX and OPT used by the Meta AI team that trained the model. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" PyTorch DeepSeek model.""" +import math +import warnings +from typing import List, Optional, Tuple, Union + +import numpy as np +import torch +import torch.distributed as dist +import torch.nn.functional as F +import torch.utils.checkpoint +from torch import nn +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss +from transformers.activations import ACT2FN +from transformers.cache_utils import Cache, DynamicCache +from transformers.modeling_attn_mask_utils import \ + _prepare_4d_causal_attention_mask +from transformers.modeling_outputs import (BaseModelOutputWithPast, + CausalLMOutputWithPast, + SequenceClassifierOutputWithPast) +from transformers.modeling_utils import PreTrainedModel +from transformers.pytorch_utils import (ALL_LAYERNORM_LAYERS, + is_torch_greater_or_equal_than_1_13) +from transformers.utils import (add_start_docstrings, + add_start_docstrings_to_model_forward, + is_flash_attn_2_available, + is_flash_attn_greater_or_equal_2_10, logging, + replace_return_docstrings) +from transformers.utils.import_utils import is_torch_fx_available + +from .configuration_deepseek import DeepseekV3Config + +if is_flash_attn_2_available(): + from flash_attn import flash_attn_func, flash_attn_varlen_func + from flash_attn.bert_padding import pad_input # noqa + from flash_attn.bert_padding import index_first_axis, unpad_input + +# This makes `_prepare_4d_causal_attention_mask` a leaf function in the FX graph. +# It means that the function will not be traced through and simply appear as a node in the graph. +if is_torch_fx_available(): + if not is_torch_greater_or_equal_than_1_13: + import torch.fx + + _prepare_4d_causal_attention_mask = torch.fx.wrap( + _prepare_4d_causal_attention_mask) + +logger = logging.get_logger(__name__) + +_CONFIG_FOR_DOC = "DeepseekV3Config" + + +def _get_unpad_data(attention_mask): + seqlens_in_batch = attention_mask.sum(dim=-1, dtype=torch.int32) + indices = torch.nonzero(attention_mask.flatten(), as_tuple=False).flatten() + max_seqlen_in_batch = seqlens_in_batch.max().item() + cu_seqlens = F.pad( + torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.torch.int32), (1, 0)) + return ( + indices, + cu_seqlens, + max_seqlen_in_batch, + ) + + +# code modified from transformers 4.48.3 to amend breaks in newer transformers versions +def get_usable_length(past_key_value, + new_seq_length: int, + layer_idx: Optional[int] = 0) -> int: + max_length = past_key_value.get_max_cache_shape() + previous_seq_length = past_key_value.get_seq_length(layer_idx) + if max_length is not None and max_length > 0 and previous_seq_length + new_seq_length > max_length: + return max_length - new_seq_length + return previous_seq_length + + +class DeepseekV3RMSNorm(nn.Module): + + def __init__(self, hidden_size, eps=1e-6): + """ + DeepseekV3RMSNorm is equivalent to T5LayerNorm + """ + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +ALL_LAYERNORM_LAYERS.append(DeepseekV3RMSNorm) + + +class DeepseekV3RotaryEmbedding(nn.Module): + + def __init__(self, + dim, + max_position_embeddings=2048, + base=10000, + device=None): + super().__init__() + + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / (self.base**( + torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + # Build here to make `torch.jit.trace` work. + self._set_cos_sin_cache( + seq_len=max_position_embeddings, + device=self.inv_freq.device, + dtype=torch.get_default_dtype(), + ) + self.max_seq_len_cached = None + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange(self.max_seq_len_cached, + device=device, + dtype=self.inv_freq.dtype) + + freqs = torch.outer(t, self.inv_freq.to(t.device)) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", + emb.cos().to(dtype), + persistent=False) + self.register_buffer("sin_cached", + emb.sin().to(dtype), + persistent=False) + + def forward(self, x, seq_len=None): + # x: [bs, num_attention_heads, seq_len, head_size] + if self.max_seq_len_cached is None or seq_len > self.max_seq_len_cached: + self._set_cos_sin_cache(seq_len=seq_len, + device=x.device, + dtype=x.dtype) + + return ( + self.cos_cached[:seq_len].to(dtype=x.dtype), + self.sin_cached[:seq_len].to(dtype=x.dtype), + ) + + +# Copied from transformers.models.llama.modeling_llama.LlamaLinearScalingRotaryEmbedding with Llama->DeepseekV3 +class DeepseekV3LinearScalingRotaryEmbedding(DeepseekV3RotaryEmbedding): + """DeepseekV3RotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev""" + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + ): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange(self.max_seq_len_cached, + device=device, + dtype=self.inv_freq.dtype) + t = t / self.scaling_factor + + freqs = torch.outer(t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", + emb.cos().to(dtype), + persistent=False) + self.register_buffer("sin_cached", + emb.sin().to(dtype), + persistent=False) + + +# Copied from transformers.models.llama.modeling_llama.LlamaDynamicNTKScalingRotaryEmbedding with Llama->DeepseekV3 +class DeepseekV3DynamicNTKScalingRotaryEmbedding(DeepseekV3RotaryEmbedding): + """DeepseekV3RotaryEmbedding extended with Dynamic NTK scaling. Credits to the Reddit users /u/bloc97 and /u/emozilla""" + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + ): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + + if seq_len > self.max_position_embeddings: + base = self.base * ((self.scaling_factor * seq_len / + self.max_position_embeddings) - + (self.scaling_factor - 1))**(self.dim / + (self.dim - 2)) + inv_freq = 1.0 / (base**( + torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + t = torch.arange(self.max_seq_len_cached, + device=device, + dtype=self.inv_freq.dtype) + + freqs = torch.outer(t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", + emb.cos().to(dtype), + persistent=False) + self.register_buffer("sin_cached", + emb.sin().to(dtype), + persistent=False) + + +# Inverse dim formula to find dim based on number of rotations +def yarn_find_correction_dim(num_rotations, + dim, + base=10000, + max_position_embeddings=2048): + return (dim * math.log(max_position_embeddings / + (num_rotations * 2 * math.pi))) / (2 * + math.log(base)) + + +# Find dim range bounds based on rotations +def yarn_find_correction_range(low_rot, + high_rot, + dim, + base=10000, + max_position_embeddings=2048): + low = math.floor( + yarn_find_correction_dim(low_rot, dim, base, max_position_embeddings)) + high = math.ceil( + yarn_find_correction_dim(high_rot, dim, base, max_position_embeddings)) + return max(low, 0), min(high, dim - 1) # Clamp values just in case + + +def yarn_get_mscale(scale=1, mscale=1): + if scale <= 1: + return 1.0 + return 0.1 * mscale * math.log(scale) + 1.0 + + +def yarn_linear_ramp_mask(min, max, dim): + if min == max: + max += 0.001 # Prevent singularity + + linear_func = (torch.arange(dim, dtype=torch.float32) - min) / (max - min) + ramp_func = torch.clamp(linear_func, 0, 1) + return ramp_func + + +class DeepseekV3YarnRotaryEmbedding(DeepseekV3RotaryEmbedding): + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + original_max_position_embeddings=4096, + beta_fast=32, + beta_slow=1, + mscale=1, + mscale_all_dim=0, + ): + self.scaling_factor = scaling_factor + self.original_max_position_embeddings = original_max_position_embeddings + self.beta_fast = beta_fast + self.beta_slow = beta_slow + self.mscale = mscale + self.mscale_all_dim = mscale_all_dim + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + dim = self.dim + + freq_extra = 1.0 / (self.base**( + torch.arange(0, dim, 2, dtype=torch.float32, device=device) / dim)) + freq_inter = 1.0 / (self.scaling_factor * self.base**( + torch.arange(0, dim, 2, dtype=torch.float32, device=device) / dim)) + + low, high = yarn_find_correction_range( + self.beta_fast, + self.beta_slow, + dim, + self.base, + self.original_max_position_embeddings, + ) + inv_freq_mask = 1.0 - yarn_linear_ramp_mask(low, high, dim // 2).to( + device=device, dtype=torch.float32) + inv_freq = freq_inter * (1 - + inv_freq_mask) + freq_extra * inv_freq_mask + self.register_buffer("inv_freq", inv_freq, persistent=False) + + t = torch.arange(seq_len, device=device, dtype=torch.float32) + + freqs = torch.outer(t, inv_freq) + + _mscale = float( + yarn_get_mscale(self.scaling_factor, self.mscale) / + yarn_get_mscale(self.scaling_factor, self.mscale_all_dim)) + + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", (emb.cos() * _mscale).to(dtype), + persistent=False) + self.register_buffer("sin_cached", (emb.sin() * _mscale).to(dtype), + persistent=False) + + +# Copied from transformers.models.llama.modeling_llama.rotate_half +def rotate_half(x): + """Rotates half the hidden dims of the input.""" + x1 = x[..., :x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2:] + return torch.cat((-x2, x1), dim=-1) + + +# Copied from transformers.models.llama.modeling_llama.apply_rotary_pos_emb +def apply_rotary_pos_emb(q, k, cos, sin, position_ids, unsqueeze_dim=1): + """Applies Rotary Position Embedding to the query and key tensors. + + Args: + q (`torch.Tensor`): The query tensor. + k (`torch.Tensor`): The key tensor. + cos (`torch.Tensor`): The cosine part of the rotary embedding. + sin (`torch.Tensor`): The sine part of the rotary embedding. + position_ids (`torch.Tensor`): + The position indices of the tokens corresponding to the query and key tensors. For example, this can be + used to pass offsetted position ids when working with a KV-cache. + unsqueeze_dim (`int`, *optional*, defaults to 1): + The 'unsqueeze_dim' argument specifies the dimension along which to unsqueeze cos[position_ids] and + sin[position_ids] so that they can be properly broadcasted to the dimensions of q and k. For example, note + that cos[position_ids] and sin[position_ids] have the shape [batch_size, seq_len, head_dim]. Then, if q and + k have the shape [batch_size, heads, seq_len, head_dim], then setting unsqueeze_dim=1 makes + cos[position_ids] and sin[position_ids] broadcastable to the shapes of q and k. Similarly, if q and k have + the shape [batch_size, seq_len, heads, head_dim], then set unsqueeze_dim=2. + Returns: + `tuple(torch.Tensor)` comprising of the query and key tensors rotated using the Rotary Position Embedding. + """ + cos = cos[position_ids].unsqueeze(unsqueeze_dim) + sin = sin[position_ids].unsqueeze(unsqueeze_dim) + + b, h, s, d = q.shape + q = q.view(b, h, s, d // 2, 2).transpose(4, 3).reshape(b, h, s, d) + + b, h, s, d = k.shape + k = k.view(b, h, s, d // 2, 2).transpose(4, 3).reshape(b, h, s, d) + + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class DeepseekV3MLP(nn.Module): + + def __init__(self, config, hidden_size=None, intermediate_size=None): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size if hidden_size is None else hidden_size + self.intermediate_size = (config.intermediate_size if intermediate_size + is None else intermediate_size) + + self.gate_proj = nn.Linear(self.hidden_size, + self.intermediate_size, + bias=False) + self.up_proj = nn.Linear(self.hidden_size, + self.intermediate_size, + bias=False) + self.down_proj = nn.Linear(self.intermediate_size, + self.hidden_size, + bias=False) + self.act_fn = ACT2FN[config.hidden_act] + + def forward(self, x): + down_proj = self.down_proj( + self.act_fn(self.gate_proj(x)) * self.up_proj(x)) + return down_proj + + +class MoEGate(nn.Module): + + def __init__(self, config): + super().__init__() + self.config = config + self.top_k = config.num_experts_per_tok + self.n_routed_experts = config.n_routed_experts + self.routed_scaling_factor = config.routed_scaling_factor + self.scoring_func = config.scoring_func + self.seq_aux = config.seq_aux + self.topk_method = config.topk_method + self.n_group = config.n_group + self.topk_group = config.topk_group + + # topk selection algorithm + self.norm_topk_prob = config.norm_topk_prob + self.gating_dim = config.hidden_size + self.weight = nn.Parameter( + torch.empty((self.n_routed_experts, self.gating_dim))) + if self.topk_method == "noaux_tc": + self.e_score_correction_bias = nn.Parameter( + torch.empty((self.n_routed_experts))) + self.reset_parameters() + + def reset_parameters(self) -> None: + import torch.nn.init as init + + init.kaiming_uniform_(self.weight, a=math.sqrt(5)) + + def forward(self, hidden_states): + bsz, seq_len, h = hidden_states.shape + ### compute gating score + hidden_states = hidden_states.view(-1, h) + logits = F.linear(hidden_states.type(torch.float32), + self.weight.type(torch.float32), None) + if self.scoring_func == "sigmoid": + scores = logits.sigmoid() + else: + raise NotImplementedError( + f"insupportable scoring function for MoE gating: {self.scoring_func}" + ) + + ### select top-k experts + if self.topk_method == "noaux_tc": + assert not self.training + scores_for_choice = scores.view( + bsz * seq_len, -1) + self.e_score_correction_bias.unsqueeze(0) + group_scores = (scores_for_choice.view( + bsz * seq_len, self.n_group, + -1).topk(2, dim=-1)[0].sum(dim=-1)) # [n, n_group] + group_idx = torch.topk(group_scores, + k=self.topk_group, + dim=-1, + sorted=False)[1] # [n, top_k_group] + group_mask = torch.zeros_like(group_scores) # [n, n_group] + group_mask.scatter_(1, group_idx, 1) # [n, n_group] + score_mask = (group_mask.unsqueeze(-1).expand( + bsz * seq_len, self.n_group, + self.n_routed_experts // self.n_group).reshape( + bsz * seq_len, -1)) # [n, e] + tmp_scores = scores_for_choice.masked_fill(~score_mask.bool(), + 0.0) # [n, e] + _, topk_idx = torch.topk(tmp_scores, + k=self.top_k, + dim=-1, + sorted=False) + topk_weight = scores.gather(1, topk_idx) + else: + raise NotImplementedError( + f"insupportable TopK function for MoE gating: {self.topk_method}" + ) + + ### norm gate to sum 1 + if self.top_k > 1 and self.norm_topk_prob: + denominator = topk_weight.sum(dim=-1, keepdim=True) + 1e-20 + topk_weight = topk_weight / denominator + topk_weight = topk_weight * self.routed_scaling_factor # must multiply the scaling factor + + return topk_idx, topk_weight + + +class DeepseekV3MoE(nn.Module): + """ + A mixed expert module containing shared experts. + """ + + def __init__(self, config): + super().__init__() + self.config = config + self.num_experts_per_tok = config.num_experts_per_tok + + if hasattr(config, "ep_size") and config.ep_size > 1: + assert config.ep_size == dist.get_world_size() + self.ep_size = config.ep_size + self.experts_per_rank = config.n_routed_experts // config.ep_size + self.ep_rank = dist.get_rank() + self.experts = nn.ModuleList([ + (DeepseekV3MLP(config, + intermediate_size=config.moe_intermediate_size) + if i >= self.ep_rank * self.experts_per_rank + and i < (self.ep_rank + 1) * self.experts_per_rank else None) + for i in range(config.n_routed_experts) + ]) + else: + self.ep_size = 1 + self.experts_per_rank = config.n_routed_experts + self.ep_rank = 0 + self.experts = nn.ModuleList([ + DeepseekV3MLP(config, + intermediate_size=config.moe_intermediate_size) + for i in range(config.n_routed_experts) + ]) + self.gate = MoEGate(config) + if config.n_shared_experts is not None: + intermediate_size = config.moe_intermediate_size * config.n_shared_experts + self.shared_experts = DeepseekV3MLP( + config=config, intermediate_size=intermediate_size) + + def forward(self, hidden_states): + identity = hidden_states + orig_shape = hidden_states.shape + topk_idx, topk_weight = self.gate(hidden_states) + hidden_states = hidden_states.view(-1, hidden_states.shape[-1]) + flat_topk_idx = topk_idx.view(-1) + if not self.training: + y = self.moe_infer(hidden_states, topk_idx, + topk_weight).view(*orig_shape) + if self.config.n_shared_experts is not None: + y = y + self.shared_experts(identity) + return y + + @torch.no_grad() + def moe_infer(self, x, topk_ids, topk_weight): + cnts = topk_ids.new_zeros((topk_ids.shape[0], len(self.experts))) + cnts.scatter_(1, topk_ids, 1) + tokens_per_expert = cnts.sum(dim=0) + idxs = topk_ids.view(-1).argsort() + sorted_tokens = x[idxs // topk_ids.shape[1]] + sorted_tokens_shape = sorted_tokens.shape + if self.ep_size > 1: + tokens_per_ep_rank = tokens_per_expert.view(self.ep_size, + -1).sum(dim=1) + tokens_per_expert_group = tokens_per_expert.new_empty( + tokens_per_expert.shape[0]) + dist.all_to_all_single(tokens_per_expert_group, tokens_per_expert) + output_splits = (tokens_per_expert_group.view( + self.ep_size, -1).sum(1).cpu().numpy().tolist()) + gathered_tokens = sorted_tokens.new_empty( + tokens_per_expert_group.sum(dim=0).cpu().item(), + sorted_tokens.shape[1]) + input_split_sizes = tokens_per_ep_rank.cpu().numpy().tolist() + dist.all_to_all( + list(gathered_tokens.split(output_splits)), + list(sorted_tokens.split(input_split_sizes)), + ) + tokens_per_expert_post_gather = tokens_per_expert_group.view( + self.ep_size, self.experts_per_rank).sum(dim=0) + gatherd_idxs = np.zeros(shape=(gathered_tokens.shape[0], ), + dtype=np.int32) + s = 0 + for i, k in enumerate(tokens_per_expert_group.cpu().numpy()): + gatherd_idxs[s:s + k] = i % self.experts_per_rank + s += k + gatherd_idxs = gatherd_idxs.argsort() + sorted_tokens = gathered_tokens[gatherd_idxs] + tokens_per_expert = tokens_per_expert_post_gather + tokens_per_expert = tokens_per_expert.cpu().numpy() + + outputs = [] + start_idx = 0 + for i, num_tokens in enumerate(tokens_per_expert): + end_idx = start_idx + num_tokens + if num_tokens == 0: + continue + expert = self.experts[i + self.ep_rank * self.experts_per_rank] + tokens_for_this_expert = sorted_tokens[start_idx:end_idx] + expert_out = expert(tokens_for_this_expert) + outputs.append(expert_out) + start_idx = end_idx + + outs = torch.cat(outputs, + dim=0) if len(outputs) else sorted_tokens.new_empty(0) + if self.ep_size > 1: + new_x = torch.empty_like(outs) + new_x[gatherd_idxs] = outs + gathered_tokens = new_x.new_empty(*sorted_tokens_shape) + dist.all_to_all( + list(gathered_tokens.split(input_split_sizes)), + list(new_x.split(output_splits)), + ) + outs = gathered_tokens + + new_x = torch.empty_like(outs) + new_x[idxs] = outs + final_out = (new_x.view( + *topk_ids.shape, -1).type(topk_weight.dtype).mul_( + topk_weight.unsqueeze(dim=-1)).sum(dim=1).type(new_x.dtype)) + return final_out + + +# Copied from transformers.models.llama.modeling_llama.repeat_kv +def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: + """ + This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, + num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) + """ + batch, num_key_value_heads, slen, head_dim = hidden_states.shape + if n_rep == 1: + return hidden_states + hidden_states = hidden_states[:, :, + None, :, :].expand(batch, + num_key_value_heads, + n_rep, slen, head_dim) + return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, + head_dim) + + +# Copied from transformers.models.llama.modeling_llama.LlamaAttention with Llama->DeepseekV3 +class DeepseekV3Attention(nn.Module): + """Multi-headed attention from 'Attention Is All You Need' paper""" + + def __init__(self, + config: DeepseekV3Config, + layer_idx: Optional[int] = None): + super().__init__() + self.config = config + self.layer_idx = layer_idx + if layer_idx is None: + logger.warning_once( + f"Instantiating {self.__class__.__name__} without passing `layer_idx` is not recommended and will " + "to errors during the forward call, if caching is used. Please make sure to provide a `layer_idx` " + "when creating this class.") + + self.attention_dropout = config.attention_dropout + self.hidden_size = config.hidden_size + self.num_heads = config.num_attention_heads + + self.max_position_embeddings = config.max_position_embeddings + self.rope_theta = config.rope_theta + self.q_lora_rank = config.q_lora_rank + self.qk_rope_head_dim = config.qk_rope_head_dim + self.kv_lora_rank = config.kv_lora_rank + self.v_head_dim = config.v_head_dim + self.qk_nope_head_dim = config.qk_nope_head_dim + self.q_head_dim = config.qk_nope_head_dim + config.qk_rope_head_dim + + self.is_causal = True + + if self.q_lora_rank is None: + self.q_proj = nn.Linear(self.hidden_size, + self.num_heads * self.q_head_dim, + bias=False) + else: + self.q_a_proj = nn.Linear(self.hidden_size, + config.q_lora_rank, + bias=config.attention_bias) + self.q_a_layernorm = DeepseekV3RMSNorm(config.q_lora_rank) + self.q_b_proj = nn.Linear(config.q_lora_rank, + self.num_heads * self.q_head_dim, + bias=False) + + self.kv_a_proj_with_mqa = nn.Linear( + self.hidden_size, + config.kv_lora_rank + config.qk_rope_head_dim, + bias=config.attention_bias, + ) + self.kv_a_layernorm = DeepseekV3RMSNorm(config.kv_lora_rank) + self.kv_b_proj = nn.Linear( + config.kv_lora_rank, + self.num_heads * + (self.q_head_dim - self.qk_rope_head_dim + self.v_head_dim), + bias=False, + ) + + self.o_proj = nn.Linear( + self.num_heads * self.v_head_dim, + self.hidden_size, + bias=config.attention_bias, + ) + self._init_rope() + + self.softmax_scale = self.q_head_dim**(-0.5) + if self.config.rope_scaling is not None: + mscale_all_dim = self.config.rope_scaling.get("mscale_all_dim", 0) + scaling_factor = self.config.rope_scaling["factor"] + if mscale_all_dim: + mscale = yarn_get_mscale(scaling_factor, mscale_all_dim) + self.softmax_scale = self.softmax_scale * mscale * mscale + + def _init_rope(self): + if self.config.rope_scaling is None: + self.rotary_emb = DeepseekV3RotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.rope_theta, + ) + else: + scaling_type = self.config.rope_scaling["type"] + scaling_factor = self.config.rope_scaling["factor"] + if scaling_type == "linear": + self.rotary_emb = DeepseekV3LinearScalingRotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + ) + elif scaling_type == "dynamic": + self.rotary_emb = DeepseekV3DynamicNTKScalingRotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + ) + elif scaling_type == "yarn": + kwargs = { + key: self.config.rope_scaling[key] + for key in [ + "original_max_position_embeddings", + "beta_fast", + "beta_slow", + "mscale", + "mscale_all_dim", + ] if key in self.config.rope_scaling + } + self.rotary_emb = DeepseekV3YarnRotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + **kwargs, + ) + else: + raise ValueError(f"Unknown RoPE scaling type {scaling_type}") + + def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): + return (tensor.view(bsz, seq_len, self.num_heads, + self.v_head_dim).transpose(1, 2).contiguous()) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], + Optional[Tuple[torch.Tensor]]]: + if "padding_mask" in kwargs: + warnings.warn( + "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`" + ) + bsz, q_len, _ = hidden_states.size() + + if self.q_lora_rank is None: + q = self.q_proj(hidden_states) + else: + q = self.q_b_proj(self.q_a_layernorm(self.q_a_proj(hidden_states))) + q = q.view(bsz, q_len, self.num_heads, self.q_head_dim).transpose(1, 2) + q_nope, q_pe = torch.split( + q, [self.qk_nope_head_dim, self.qk_rope_head_dim], dim=-1) + + compressed_kv = self.kv_a_proj_with_mqa(hidden_states) + compressed_kv, k_pe = torch.split( + compressed_kv, [self.kv_lora_rank, self.qk_rope_head_dim], dim=-1) + k_pe = k_pe.view(bsz, q_len, 1, self.qk_rope_head_dim).transpose(1, 2) + kv = (self.kv_b_proj(self.kv_a_layernorm(compressed_kv)).view( + bsz, q_len, self.num_heads, + self.qk_nope_head_dim + self.v_head_dim).transpose(1, 2)) + + k_nope, value_states = torch.split( + kv, [self.qk_nope_head_dim, self.v_head_dim], dim=-1) + kv_seq_len = value_states.shape[-2] + if past_key_value is not None: + if self.layer_idx is None: + raise ValueError( + f"The cache structure has changed since version v4.36. If you are using {self.__class__.__name__} " + "for auto-regressive decoding with k/v caching, please make sure to initialize the attention class " + "with a layer index.") + kv_seq_len += get_usable_length(past_key_value, kv_seq_len, + self.layer_idx) + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + + q_pe, k_pe = apply_rotary_pos_emb(q_pe, k_pe, cos, sin, position_ids) + + query_states = k_pe.new_empty(bsz, self.num_heads, q_len, + self.q_head_dim) + query_states[:, :, :, :self.qk_nope_head_dim] = q_nope + query_states[:, :, :, self.qk_nope_head_dim:] = q_pe + + key_states = k_pe.new_empty(bsz, self.num_heads, q_len, + self.q_head_dim) + key_states[:, :, :, :self.qk_nope_head_dim] = k_nope + key_states[:, :, :, self.qk_nope_head_dim:] = k_pe + if past_key_value is not None: + cache_kwargs = {"sin": sin, "cos": cos} # Specific to RoPE models + key_states, value_states = past_key_value.update( + key_states, value_states, self.layer_idx, cache_kwargs) + + attn_weights = ( + torch.matmul(query_states, key_states.transpose(2, 3)) * + self.softmax_scale) + + if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len): + raise ValueError( + f"Attention weights should be of size {(bsz, self.num_heads, q_len, kv_seq_len)}, but is" + f" {attn_weights.size()}") + assert attention_mask is not None + if attention_mask is not None: + if attention_mask.size() != (bsz, 1, q_len, kv_seq_len): + raise ValueError( + f"Attention mask should be of size {(bsz, 1, q_len, kv_seq_len)}, but is {attention_mask.size()}" + ) + attn_weights = attn_weights + attention_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax(attn_weights, + dim=-1, + dtype=torch.float32).to( + query_states.dtype) + attn_weights = nn.functional.dropout(attn_weights, + p=self.attention_dropout, + training=self.training) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (bsz, self.num_heads, q_len, self.v_head_dim): + raise ValueError( + f"`attn_output` should be of size {(bsz, self.num_heads, q_len, self.v_head_dim)}, but is" + f" {attn_output.size()}") + + attn_output = attn_output.transpose(1, 2).contiguous() + + attn_output = attn_output.reshape(bsz, q_len, + self.num_heads * self.v_head_dim) + + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + +# Copied from transformers.models.llama.modeling_llama.LlamaFlashAttention2 with Llama->DeepseekV3 +class DeepseekV3FlashAttention2(DeepseekV3Attention): + """ + DeepseekV3 flash attention module. This module inherits from `DeepseekV3Attention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + # TODO: Should be removed once Flash Attention for RoCm is bumped to 2.1. + # flash_attn<2.1 generates top-left aligned causal mask, while what is needed here is bottom-right alignment, that was made default for flash_attn>=2.1. This attribute is used to handle this difference. Reference: https://github.com/Dao-AILab/flash-attention/releases/tag/v2.1.0. + # Beware that with flash_attn<2.1, using q_seqlen != k_seqlen (except for the case q_seqlen == 1) produces a wrong mask (top-left). + self._flash_attn_uses_top_left_mask = not is_flash_attn_greater_or_equal_2_10( + ) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.LongTensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], + Optional[Tuple[torch.Tensor]]]: + # DeepseekV3FlashAttention2 attention does not support output_attentions + if "padding_mask" in kwargs: + warnings.warn( + "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`" + ) + + # overwrite attention_mask with padding_mask + attention_mask = kwargs.pop("padding_mask") + + output_attentions = False + + bsz, q_len, _ = hidden_states.size() + + if self.q_lora_rank is None: + q = self.q_proj(hidden_states) + else: + q = self.q_b_proj(self.q_a_layernorm(self.q_a_proj(hidden_states))) + q = q.view(bsz, q_len, self.num_heads, self.q_head_dim).transpose(1, 2) + q_nope, q_pe = torch.split( + q, [self.qk_nope_head_dim, self.qk_rope_head_dim], dim=-1) + + # Flash attention requires the input to have the shape + # batch_size x seq_length x head_dim x hidden_dim + # therefore we just need to keep the original shape + compressed_kv = self.kv_a_proj_with_mqa(hidden_states) + compressed_kv, k_pe = torch.split( + compressed_kv, [self.kv_lora_rank, self.qk_rope_head_dim], dim=-1) + k_pe = k_pe.view(bsz, q_len, 1, self.qk_rope_head_dim).transpose(1, 2) + kv = (self.kv_b_proj(self.kv_a_layernorm(compressed_kv)).view( + bsz, q_len, self.num_heads, + self.qk_nope_head_dim + self.v_head_dim).transpose(1, 2)) + + k_nope, value_states = torch.split( + kv, [self.qk_nope_head_dim, self.v_head_dim], dim=-1) + kv_seq_len = value_states.shape[-2] + + kv_seq_len = value_states.shape[-2] + if past_key_value is not None: + kv_seq_len += get_usable_length(past_key_value, kv_seq_len, + self.layer_idx) + + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + q_pe, k_pe = apply_rotary_pos_emb(q_pe, k_pe, cos, sin, position_ids) + + query_states = k_pe.new_empty(bsz, self.num_heads, q_len, + self.q_head_dim) + query_states[:, :, :, :self.qk_nope_head_dim] = q_nope + query_states[:, :, :, self.qk_nope_head_dim:] = q_pe + + key_states = k_pe.new_empty(bsz, self.num_heads, q_len, + self.q_head_dim) + key_states[:, :, :, :self.qk_nope_head_dim] = k_nope + key_states[:, :, :, self.qk_nope_head_dim:] = k_pe + + if self.q_head_dim != self.v_head_dim: + value_states = F.pad(value_states, + [0, self.q_head_dim - self.v_head_dim]) + + if past_key_value is not None: + cache_kwargs = {"sin": sin, "cos": cos} # Specific to RoPE models + key_states, value_states = past_key_value.update( + key_states, value_states, self.layer_idx, cache_kwargs) + + # TODO: These transpose are quite inefficient but Flash Attention requires the layout [batch_size, sequence_length, num_heads, head_dim]. We would need to refactor the KV cache + # to be able to avoid many of these transpose/reshape/view. + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + dropout_rate = self.attention_dropout if self.training else 0.0 + + # In PEFT, usually we cast the layer norms in float32 for training stability reasons + # therefore the input hidden states gets silently casted in float32. Hence, we need + # cast them back in the correct dtype just to be sure everything works as expected. + # This might slowdown training & inference so it is recommended to not cast the LayerNorms + # in fp32. (DeepseekV3RMSNorm handles it correctly) + + input_dtype = query_states.dtype + if input_dtype == torch.float32: + # Handle the case where the model is quantized + if hasattr(self.config, "_pre_quantization_dtype"): + target_dtype = self.config._pre_quantization_dtype + elif torch.is_autocast_enabled(): + target_dtype = torch.get_autocast_gpu_dtype() + else: + target_dtype = (self.q_proj.weight.dtype if self.q_lora_rank + is None else self.q_a_proj.weight.dtype) + + logger.warning_once( + f"The input hidden states seems to be silently casted in float32, this might be related to" + f" the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in" + f" {target_dtype}.") + + query_states = query_states.to(target_dtype) + key_states = key_states.to(target_dtype) + value_states = value_states.to(target_dtype) + + attn_output = self._flash_attention_forward( + query_states, + key_states, + value_states, + attention_mask, + q_len, + dropout=dropout_rate, + softmax_scale=self.softmax_scale, + ) + if self.q_head_dim != self.v_head_dim: + attn_output = attn_output[:, :, :, :self.v_head_dim] + + attn_output = attn_output.reshape(bsz, q_len, self.num_heads * + self.v_head_dim).contiguous() + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward( + self, + query_states, + key_states, + value_states, + attention_mask, + query_length, + dropout=0.0, + softmax_scale=None, + ): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + attention_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + """ + if not self._flash_attn_uses_top_left_mask: + causal = self.is_causal + else: + # TODO: Remove the `query_length != 1` check once Flash Attention for RoCm is bumped to 2.1. For details, please see the comment in DeepseekV3FlashAttention2 __init__. + causal = self.is_causal and query_length != 1 + + # Contains at least one padding token in the sequence + if attention_mask is not None: + batch_size = query_states.shape[0] + ( + query_states, + key_states, + value_states, + indices_q, + cu_seq_lens, + max_seq_lens, + ) = self._upad_input(query_states, key_states, value_states, + attention_mask, query_length) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + attn_output = pad_input(attn_output_unpad, indices_q, batch_size, + query_length) + else: + attn_output = flash_attn_func( + query_states, + key_states, + value_states, + dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + return attn_output + + def _upad_input(self, query_layer, key_layer, value_layer, attention_mask, + query_length): + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data( + attention_mask) + batch_size, kv_seq_len, num_key_value_heads, head_dim = key_layer.shape + + key_layer = index_first_axis( + key_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, + head_dim), + indices_k, + ) + value_layer = index_first_axis( + value_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, + head_dim), + indices_k, + ) + if query_length == kv_seq_len: + query_layer = index_first_axis( + query_layer.reshape(batch_size * kv_seq_len, self.num_heads, + head_dim), + indices_k, + ) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange( + batch_size + 1, dtype=torch.int32, device=query_layer.device + ) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + attention_mask = attention_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input( + query_layer, attention_mask) + + return ( + query_layer, + key_layer, + value_layer, + indices_q, + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +ATTENTION_CLASSES = { + "eager": DeepseekV3Attention, + "flash_attention_2": DeepseekV3FlashAttention2, +} + + +class DeepseekV3DecoderLayer(nn.Module): + + def __init__(self, config: DeepseekV3Config, layer_idx: int): + super().__init__() + self.hidden_size = config.hidden_size + + self.self_attn = ATTENTION_CLASSES[config._attn_implementation]( + config=config, layer_idx=layer_idx) + + self.mlp = (DeepseekV3MoE(config) if + (config.n_routed_experts is not None + and layer_idx >= config.first_k_dense_replace + and layer_idx % config.moe_layer_freq == 0) else + DeepseekV3MLP(config)) + self.input_layernorm = DeepseekV3RMSNorm(config.hidden_size, + eps=config.rms_norm_eps) + self.post_attention_layernorm = DeepseekV3RMSNorm( + config.hidden_size, eps=config.rms_norm_eps) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: Optional[bool] = False, + use_cache: Optional[bool] = False, + **kwargs, + ) -> Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, + torch.FloatTensor]]]: + """ + Args: + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`, *optional*): + attention mask of size `(batch_size, sequence_length)` if flash attention is used or `(batch_size, 1, + query_sequence_length, key_sequence_length)` if default attention is used. + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding + (see `past_key_values`). + past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states + """ + if "padding_mask" in kwargs: + warnings.warn( + "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`" + ) + residual = hidden_states + + hidden_states = self.input_layernorm(hidden_states) + + # Self Attention + hidden_states, self_attn_weights, present_key_value = self.self_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + **kwargs, + ) + hidden_states = residual + hidden_states + + # Fully Connected + residual = hidden_states + hidden_states = self.post_attention_layernorm(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states, ) + + if output_attentions: + outputs += (self_attn_weights, ) + + if use_cache: + outputs += (present_key_value, ) + + return outputs + + +DeepseekV3_START_DOCSTRING = r""" + This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the + library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads + etc.) + + This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. + Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage + and behavior. + + Parameters: + config ([`DeepseekV3Config`]): + Model configuration class with all the parameters of the model. Initializing with a config file does not + load the weights associated with the model, only the configuration. Check out the + [`~PreTrainedModel.from_pretrained`] method to load the model weights. +""" + + +@add_start_docstrings( + "The bare DeepseekV3 Model outputting raw hidden-states without any specific head on top.", + DeepseekV3_START_DOCSTRING, +) +class DeepseekV3PreTrainedModel(PreTrainedModel): + config_class = DeepseekV3Config + base_model_prefix = "model" + supports_gradient_checkpointing = True + _no_split_modules = ["DeepseekV3DecoderLayer"] + _skip_keys_device_placement = "past_key_values" + _supports_flash_attn_2 = True + _supports_cache_class = True + + def _init_weights(self, module): + std = self.config.initializer_range + if isinstance(module, nn.Linear): + module.weight.data.normal_(mean=0.0, std=std) + if module.bias is not None: + module.bias.data.zero_() + elif isinstance(module, nn.Embedding): + module.weight.data.normal_(mean=0.0, std=std) + if module.padding_idx is not None: + module.weight.data[module.padding_idx].zero_() + + +DeepseekV3_INPUTS_DOCSTRING = r""" + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you provide + it. + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + [What are input IDs?](../glossary#input-ids) + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + If `past_key_values` is used, optionally only the last `input_ids` have to be input (see + `past_key_values`). + + If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] + and modify to your needs. See diagram 1 in [the paper](https://arxiv.org/abs/1910.13461) for more + information on the default strategy. + + - 1 indicates the head is **not masked**, + - 0 indicates the head is **masked**. + position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, + config.n_positions - 1]`. + + [What are position IDs?](../glossary#position-ids) + past_key_values (`Cache` or `tuple(tuple(torch.FloatTensor))`, *optional*): + Pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention + blocks) that can be used to speed up sequential decoding. This typically consists in the `past_key_values` + returned by the model at a previous stage of decoding, when `use_cache=True` or `config.use_cache=True`. + + Two formats are allowed: + - a [`~cache_utils.Cache`] instance; + - Tuple of `tuple(torch.FloatTensor)` of length `config.n_layers`, with each tuple having 2 tensors of + shape `(batch_size, num_heads, sequence_length, embed_size_per_head)`). This is also known as the legacy + cache format. + + The model will output the same cache format that is fed as input. If no `past_key_values` are passed, the + legacy cache format will be returned. + + If `past_key_values` are used, the user can optionally input only the last `input_ids` (those that don't + have their past key value states given to this model) of shape `(batch_size, 1)` instead of all `input_ids` + of shape `(batch_size, sequence_length)`. + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This + is useful if you want more control over how to convert `input_ids` indices into associated vectors than the + model's internal embedding lookup matrix. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding (see + `past_key_values`). + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned + tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for + more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. +""" + + +@add_start_docstrings( + "The bare DeepseekV3 Model outputting raw hidden-states without any specific head on top.", + DeepseekV3_START_DOCSTRING, +) +class DeepseekV3Model(DeepseekV3PreTrainedModel): + """ + Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`DeepseekV3DecoderLayer`] + + Args: + config: DeepseekV3Config + """ + + def __init__(self, config: DeepseekV3Config): + super().__init__(config) + self.padding_idx = config.pad_token_id + self.vocab_size = config.vocab_size + + self.embed_tokens = nn.Embedding(config.vocab_size, config.hidden_size, + self.padding_idx) + self.layers = nn.ModuleList([ + DeepseekV3DecoderLayer(config, layer_idx) + for layer_idx in range(config.num_hidden_layers) + ]) + self._use_flash_attention_2 = config._attn_implementation == "flash_attention_2" + self.norm = DeepseekV3RMSNorm(config.hidden_size, + eps=config.rms_norm_eps) + + self.gradient_checkpointing = False + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.embed_tokens + + def set_input_embeddings(self, value): + self.embed_tokens = value + + @add_start_docstrings_to_model_forward(DeepseekV3_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPast]: + output_attentions = (output_attentions if output_attentions is not None + else self.config.output_attentions) + output_hidden_states = (output_hidden_states + if output_hidden_states is not None else + self.config.output_hidden_states) + use_cache = use_cache if use_cache is not None else self.config.use_cache + + return_dict = (return_dict if return_dict is not None else + self.config.use_return_dict) + + # retrieve input_ids and inputs_embeds + if input_ids is not None and inputs_embeds is not None: + raise ValueError( + "You cannot specify both input_ids and inputs_embeds at the same time" + ) + elif input_ids is not None: + batch_size, seq_length = input_ids.shape[:2] + elif inputs_embeds is not None: + batch_size, seq_length = inputs_embeds.shape[:2] + else: + raise ValueError( + "You have to specify either input_ids or inputs_embeds") + + past_key_values_length = 0 + if use_cache: + use_legacy_cache = not isinstance(past_key_values, Cache) + if use_legacy_cache: + past_key_values = DynamicCache.from_legacy_cache( + past_key_values) + past_key_values_length = get_usable_length(past_key_values, + seq_length) + + if position_ids is None: + device = input_ids.device if input_ids is not None else inputs_embeds.device + position_ids = torch.arange( + past_key_values_length, + seq_length + past_key_values_length, + dtype=torch.long, + device=device, + ) + position_ids = position_ids.unsqueeze(0) + + if inputs_embeds is None: + inputs_embeds = self.embed_tokens(input_ids) + + if self._use_flash_attention_2: + # 2d mask is passed through the layers + attention_mask = (attention_mask if + (attention_mask is not None + and 0 in attention_mask) else None) + else: + # 4d mask is passed through the layers + attention_mask = _prepare_4d_causal_attention_mask( + attention_mask, + (batch_size, seq_length), + inputs_embeds, + past_key_values_length, + ) + + # embed positions + hidden_states = inputs_embeds + + # decoder layers + all_hidden_states = () if output_hidden_states else None + all_self_attns = () if output_attentions else None + next_decoder_cache = None + + for decoder_layer in self.layers: + if output_hidden_states: + all_hidden_states += (hidden_states, ) + + layer_outputs = decoder_layer( + hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_values, + output_attentions=output_attentions, + use_cache=use_cache, + ) + + hidden_states = layer_outputs[0] + + if use_cache: + next_decoder_cache = layer_outputs[ + 2 if output_attentions else 1] + + if output_attentions: + all_self_attns += (layer_outputs[1], ) + + hidden_states = self.norm(hidden_states) + + # add hidden states from the last decoder layer + if output_hidden_states: + all_hidden_states += (hidden_states, ) + + next_cache = None + if use_cache: + next_cache = (next_decoder_cache.to_legacy_cache() + if use_legacy_cache else next_decoder_cache) + if not return_dict: + return tuple( + v for v in + [hidden_states, next_cache, all_hidden_states, all_self_attns] + if v is not None) + return BaseModelOutputWithPast( + last_hidden_state=hidden_states, + past_key_values=next_cache, + hidden_states=all_hidden_states, + attentions=all_self_attns, + ) + + +class DeepseekV3ForCausalLM(DeepseekV3PreTrainedModel): + _tied_weights_keys = ["lm_head.weight"] + + def __init__(self, config): + super().__init__(config) + self.model = DeepseekV3Model(config) + self.vocab_size = config.vocab_size + self.lm_head = nn.Linear(config.hidden_size, + config.vocab_size, + bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + def get_output_embeddings(self): + return self.lm_head + + def set_output_embeddings(self, new_embeddings): + self.lm_head = new_embeddings + + def set_decoder(self, decoder): + self.model = decoder + + def get_decoder(self): + return self.model + + @add_start_docstrings_to_model_forward(DeepseekV3_INPUTS_DOCSTRING) + @replace_return_docstrings(output_type=CausalLMOutputWithPast, + config_class=_CONFIG_FOR_DOC) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + r""" + Args: + labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Labels for computing the masked language modeling loss. Indices should either be in `[0, transformers., + config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored + (masked), the loss is only computed for the tokens with labels in `[0, transformers., config.vocab_size]`. + + Returns: + + Example: + + ```python + >>> from transformers import AutoTokenizer, DeepseekV3ForCausalLM + + >>> model = DeepseekV3ForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS) + >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER) + + >>> prompt = "Hey, are you conscious? Can you talk to me?" + >>> inputs = tokenizer(prompt, return_tensors="pt") + + >>> # Generate + >>> generate_ids = model.generate(inputs.input_ids, max_length=30) + >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." + ```""" + output_attentions = (output_attentions if output_attentions is not None + else self.config.output_attentions) + output_hidden_states = (output_hidden_states + if output_hidden_states is not None else + self.config.output_hidden_states) + return_dict = (return_dict if return_dict is not None else + self.config.use_return_dict) + + # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + logits = logits.float() + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits, ) + outputs[1:] + return (loss, ) + output if loss is not None else output + + return CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + def prepare_inputs_for_generation( + self, + input_ids, + past_key_values=None, + attention_mask=None, + inputs_embeds=None, + **kwargs, + ): + if past_key_values is not None: + if isinstance(past_key_values, Cache): + cache_length = past_key_values.get_seq_length() + # seen_tokens 可能在某些 transformers 版本中不存在，使用 getattr 安全访问 + past_length = getattr(past_key_values, 'seen_tokens', + cache_length) + max_cache_length = past_key_values.get_max_length() + else: + cache_length = past_length = past_key_values[0][0].shape[2] + max_cache_length = None + + # Keep only the unprocessed tokens: + # 1 - If the length of the attention_mask exceeds the length of input_ids, then we are in a setting where + # some of the inputs are exclusively passed as part of the cache (e.g. when passing input_embeds as + # input) + if (attention_mask is not None + and attention_mask.shape[1] > input_ids.shape[1]): + input_ids = input_ids[:, -(attention_mask.shape[1] - + past_length):] + # 2 - If the past_length is smaller than input_ids', then input_ids holds all input tokens. We can discard + # input_ids based on the past_length. + elif past_length < input_ids.shape[1]: + input_ids = input_ids[:, past_length:] + # 3 - Otherwise (past_length >= input_ids.shape[1]), let's assume input_ids only has unprocessed tokens. + + # If we are about to go beyond the maximum cache length, we need to crop the input attention mask. + if (max_cache_length is not None and attention_mask is not None + and cache_length + input_ids.shape[1] > max_cache_length): + attention_mask = attention_mask[:, -max_cache_length:] + + position_ids = kwargs.get("position_ids", None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -input_ids.shape[1]:] + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {"inputs_embeds": inputs_embeds} + else: + model_inputs = {"input_ids": input_ids} + + model_inputs.update({ + "position_ids": position_ids, + "past_key_values": past_key_values, + "use_cache": kwargs.get("use_cache"), + "attention_mask": attention_mask, + }) + return model_inputs + + @staticmethod + def _reorder_cache(past_key_values, beam_idx): + reordered_past = () + for layer_past in past_key_values: + reordered_past += (tuple( + past_state.index_select(0, beam_idx.to(past_state.device)) + for past_state in layer_past), ) + return reordered_past + + +@add_start_docstrings( + """ + The DeepseekV3 Model transformer with a sequence classification head on top (linear layer). + + [`DeepseekV3ForSequenceClassification`] uses the last token in order to do the classification, as other causal models + (e.g. GPT-2) do. + + Since it does classification on the last token, it requires to know the position of the last token. If a + `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If + no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the + padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in + each row of the batch). + """, + DeepseekV3_START_DOCSTRING, +) +class DeepseekV3ForSequenceClassification(DeepseekV3PreTrainedModel): + + def __init__(self, config): + super().__init__(config) + self.num_labels = config.num_labels + self.model = DeepseekV3Model(config) + self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + @add_start_docstrings_to_model_forward(DeepseekV3_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, SequenceClassifierOutputWithPast]: + r""" + labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for computing the sequence classification/regression loss. Indices should be in `[0, transformers., + config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If + `config.num_labels > 1` a classification loss is computed (Cross-Entropy). + """ + return_dict = (return_dict if return_dict is not None else + self.config.use_return_dict) + + transformer_outputs = self.model( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + hidden_states = transformer_outputs[0] + logits = self.score(hidden_states) + + if input_ids is not None: + batch_size = input_ids.shape[0] + else: + batch_size = inputs_embeds.shape[0] + + if self.config.pad_token_id is None and batch_size != 1: + raise ValueError( + "Cannot handle batch sizes > 1 if no padding token is defined." + ) + if self.config.pad_token_id is None: + sequence_lengths = -1 + else: + if input_ids is not None: + sequence_lengths = (torch.eq( + input_ids, self.config.pad_token_id).int().argmax(-1) - + 1).to(logits.device) + else: + sequence_lengths = -1 + + pooled_logits = logits[torch.arange(batch_size, device=logits.device), + sequence_lengths] + + loss = None + if labels is not None: + labels = labels.to(logits.device) + if self.config.problem_type is None: + if self.num_labels == 1: + self.config.problem_type = "regression" + elif self.num_labels > 1 and (labels.dtype == torch.long + or labels.dtype == torch.int): + self.config.problem_type = "single_label_classification" + else: + self.config.problem_type = "multi_label_classification" + + if self.config.problem_type == "regression": + loss_fct = MSELoss() + if self.num_labels == 1: + loss = loss_fct(pooled_logits.squeeze(), labels.squeeze()) + else: + loss = loss_fct(pooled_logits, labels) + elif self.config.problem_type == "single_label_classification": + loss_fct = CrossEntropyLoss() + loss = loss_fct(pooled_logits.view(-1, self.num_labels), + labels.view(-1)) + elif self.config.problem_type == "multi_label_classification": + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(pooled_logits, labels) + if not return_dict: + output = (pooled_logits, ) + transformer_outputs[1:] + return ((loss, ) + output) if loss is not None else output + + return SequenceClassifierOutputWithPast( + loss=loss, + logits=pooled_logits, + past_key_values=transformer_outputs.past_key_values, + hidden_states=transformer_outputs.hidden_states, + attentions=transformer_outputs.attentions, + ) diff --git a/preview-banner.png b/preview-banner.png new file mode 100644 index 0000000..3c1bdb2 --- /dev/null +++ b/preview-banner.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bbf154522311eb0af3d4e645c9da47c99a731a11ded726cdefebfd131966b610 +size 861396 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..a52c2ea --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,40 @@ +{ + "additional_special_tokens": [ + "<|endoftext|>", + "[MASK]", + "[gMASK]", + "[sMASK]", + "", + "", + "<|system|>", + "<|user|>", + "<|assistant|>", + "<|observation|>", + "<|begin_of_image|>", + "<|end_of_image|>", + "<|begin_of_video|>", + "<|end_of_video|>", + "<|begin_of_audio|>", + "<|end_of_audio|>", + "<|begin_of_transcription|>", + "<|end_of_transcription|>", + "<|code_prefix|>", + "<|code_middle|>", + "<|code_suffix|>", + "/nothink" + ], + "eos_token": { + "content": "<|user|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<|begin_of_video|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..e3ed3c6 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bda8e2146c3bb7b7e0fc96dcc4f0aeff041c6c27952e3ace0665663ebff346ba +size 19970700 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..d0270d5 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,325 @@ +{ + "added_tokens_decoder": { + "151329": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151330": { + "content": "[MASK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151331": { + "content": "[gMASK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151332": { + "content": "[sMASK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151333": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151334": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151335": { + "content": "<|system|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151336": { + "content": "<|user|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151337": { + "content": "<|assistant|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151338": { + "content": "<|observation|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151339": { + "content": "<|begin_of_image|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151340": { + "content": "<|end_of_image|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151341": { + "content": "<|begin_of_video|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151342": { + "content": "<|end_of_video|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151343": { + "content": "<|begin_of_audio|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151344": { + "content": "<|end_of_audio|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151345": { + "content": "<|begin_of_transcription|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151346": { + "content": "<|end_of_transcription|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151347": { + "content": "<|code_prefix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151348": { + "content": "<|code_middle|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151349": { + "content": "<|code_suffix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151350": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151351": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151352": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151353": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151354": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151355": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151356": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151357": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151358": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151359": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151360": { + "content": "/nothink", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151361": { + "content": "<|begin_of_box|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151362": { + "content": "<|end_of_box|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151363": { + "content": "<|image|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151364": { + "content": "<|video|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "additional_special_tokens": [ + "<|endoftext|>", + "[MASK]", + "[gMASK]", + "[sMASK]", + "", + "", + "<|system|>", + "<|user|>", + "<|assistant|>", + "<|observation|>", + "<|begin_of_image|>", + "<|end_of_image|>", + "<|begin_of_video|>", + "<|end_of_video|>", + "<|begin_of_audio|>", + "<|end_of_audio|>", + "<|begin_of_transcription|>", + "<|end_of_transcription|>", + "<|code_prefix|>", + "<|code_middle|>", + "<|code_suffix|>", + "/nothink" + ], + "clean_up_tokenization_spaces": false, + "do_lower_case": false, + "eos_token": "<|user|>", + "extra_special_tokens": {}, + "model_max_length": 128000, + "pad_token": "<|begin_of_video|>", + "padding_side": "left", + "remove_space": false, + "tokenizer_class": "PreTrainedTokenizerFast" +}