From d7bff0acdd3c35354b4df9cfc0d2131aeaaf5309 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 10 Sep 2026 15:12:16 +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: rroshann/sec-sentiment-sft-deepseek-14b Source: Original Platform --- .gitattributes | 36 ++ README.md | 197 +++++++++++ chat_template.jinja | 1 + config.json | 81 +++++ generation_config.json | 9 + model-00001-of-00006.safetensors | 3 + model-00002-of-00006.safetensors | 3 + model-00003-of-00006.safetensors | 3 + model-00004-of-00006.safetensors | 3 + model-00005-of-00006.safetensors | 3 + model-00006-of-00006.safetensors | 3 + model.safetensors.index.json | 587 +++++++++++++++++++++++++++++++ tokenizer.json | 3 + tokenizer_config.json | 13 + 14 files changed, 945 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00006.safetensors create mode 100644 model-00002-of-00006.safetensors create mode 100644 model-00003-of-00006.safetensors create mode 100644 model-00004-of-00006.safetensors create mode 100644 model-00005-of-00006.safetensors create mode 100644 model-00006-of-00006.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..3c3108d --- /dev/null +++ b/README.md @@ -0,0 +1,197 @@ +--- +license: mit +base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B +pipeline_tag: text-generation +language: + - en +tags: + - finance + - sec-filings + - sentiment-analysis + - qlora + - sft + - deepseek + - vanderbilt-dsi +library_name: transformers +--- + +# sec-sentiment-sft-deepseek-14b + +Supervised fine-tune of [`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) for 5-class sentiment classification of thematic factors extracted from U.S. industrials SEC filings (10-K, 10-Q). + +Produced as part of the AllianceBernstein × Vanderbilt DSI capstone project, Spring 2026. + +- **Paper / Technical Report:** [`TECHNICAL_REPORT.md`](https://github.com/WanlinTu/NLP-Project/blob/main/technical_report/TECHNICAL_REPORT.md) +- **Code:** [github.com/WanlinTu/NLP-Project](https://github.com/WanlinTu/NLP-Project) +- **Companion model (further RL-aligned):** [`rroshann/sec-sentiment-sftgrpo-deepseek-14b`](https://huggingface.co/rroshann/sec-sentiment-sftgrpo-deepseek-14b) + +* * * + +## Model Details + +| | | +|---|---| +| **Architecture** | DeepSeek-R1-Distill-Qwen-14B (dense decoder-only, 14B params) | +| **Fine-tune method** | QLoRA (NF4 4-bit base + LoRA adapter), merged to a single fp16/bf16 checkpoint | +| **LoRA rank / alpha / dropout** | 64 / 128 / 0.05 | +| **Target modules (7)** | `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` | +| **Trainable parameter fraction** | ~1.3% of base | +| **Training hardware** | 1× A100 40GB (Vanderbilt ACCRE) | +| **Precision** | bf16 mixed | +| **Checkpoint format** | Merged safetensors (6 shards, 28 GB total) | + +## Intended Uses + +**In scope.** Financial-materiality sentiment classification of individual factor summaries extracted from 10-K / 10-Q filings. Input = a factor-level summary paragraph. Output = one of five ordinal labels (`very_negative`, `negative`, `neutral`, `positive`, `very_positive`) plus a natural-language rationale and a confidence score. + +**Out of scope.** This is **not** a general-purpose assistant. Do not use it for: + +- Open-ended chat or instruction-following +- Stock-price prediction, trading signals on a single-factor basis +- Sentiment analysis outside the U.S. industrials sector or outside SEC-filing prose +- Downstream applications without the cohort-level aggregation and portfolio-level validation described in the technical report + +Per-sample accuracy is near the 5-class uniform baseline (~20%) on realized-return-quintile gold labels — by design. The model's value comes from the **cohort-level ordinal shape** of predictions across a pre-registered backtest panel (see technical report §11). + +## Training Data + +- **Source corpus:** 67,741 thematic factors extracted from 2,441 10-K and 10-Q filings (80 U.S. industrials tickers, 2015-01 → 2025-06). +- **Annotation pipeline:** two-stage weak-to-strong labeling: + 1. Base DeepSeek-R1-Distill-Qwen-14B produces a first-pass 5-class label per factor. + 2. Claude Opus re-labels each factor against a financial-materiality rubric. 45.6% of base labels change (disagreement rate between two LLMs — not a human-validated correction rate). +- **Tail densification:** +217 samples from two "extreme" chunks targeting known very-negative and very-positive filings (bankruptcy, major contract wins, restructuring). +- **Final dataset size:** 5,217 samples. +- **Splits:** 4,172 train / 1,045 validation (factor-level stratified split on the 5-class label, `random_state=42`). **Note:** the split is at the factor level, not the filing level — see technical report §6.4 for the disclosed limitation. + +## Training Procedure + +| Parameter | Value | +|---|---| +| Epochs | 3 | +| Steps | 783 | +| Learning rate | 2e-4, cosine schedule, 5% warmup | +| Effective batch size | 16 (2 per-device × 8 grad accumulation) | +| Optimizer | paged AdamW 8-bit | +| Max sequence length | 2048 tokens | +| Quantization | NF4 (double-quant) on base, adapter in bf16 | +| Final training loss | 0.08 (from 1.55 start) | + +## Evaluation + +**Validation accuracy (1,045-sample held-out Opus-labeled val set):** 73.3% + +**Classification metrics on the 18,466-factor pre-registered test set** (gold label = filing's next-period realized-return quintile, a fundamentally different and harder target than the Opus-labeled val set): + +| Metric | Base | SFT (this model) | +|---|---|---| +| Macro F1 | 0.160 | 0.174 | +| Quadratic Weighted Kappa (QWK) | 0.017 | 0.027 | + +The +1.4 pp F1 gain over base is modest at the sample level; the full portfolio-level story (SFT lifts L/S cohort spread from 2.78% to 4.88% at 21-day horizon) is in the technical report §7.5. + +## Usage + +### Direct inference via vLLM (recommended) + +```bash +vllm serve rroshann/sec-sentiment-sft-deepseek-14b \ + --dtype bfloat16 \ + --gpu-memory-utilization 0.90 \ + --port 8000 \ + --max-model-len 2048 +``` + +Query with any OpenAI-compatible client: + +```python +from openai import OpenAI + +client = OpenAI(base_url="http://127.0.0.1:8000/v1", api_key="local") + +response = client.chat.completions.create( + model="rroshann/sec-sentiment-sft-deepseek-14b", + messages=[{ + "role": "user", + "content": "Factor: Supply chain pressure from component shortages...\n\nClassify sentiment into one of [very_negative, negative, neutral, positive, very_positive] and return JSON: {label, rationale, confidence}." + }], + temperature=0.0, + max_tokens=512, +) +print(response.choices[0].message.content) +``` + +See `roshan/Actual_code/task_1/03_factor_extraction.py` and `04_sentiment_scoring.py` in the GitHub repo for the exact system prompts and JSON schemas used to produce the 67,741-factor corpus. + +### Direct inference via `transformers` + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM +import torch + +model_id = "rroshann/sec-sentiment-sft-deepseek-14b" +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype=torch.bfloat16, + device_map="auto", +) + +messages = [{"role": "user", "content": ""}] +input_ids = tokenizer.apply_chat_template( + messages, + return_tensors="pt", + add_generation_prompt=True, +).to(model.device) + +outputs = model.generate( + input_ids, + max_new_tokens=512, + do_sample=False, # greedy +) +print(tokenizer.decode(outputs[0, input_ids.shape[-1]:], skip_special_tokens=True)) +``` + +## Limitations & Biases + +- **Universe specificity.** Trained on 80 U.S. industrials tickers; will underperform on other sectors (tech, finance, healthcare) where the factor taxonomy is calibrated differently. +- **Single-factor accuracy near chance on return labels.** See Intended Uses. Deploy only with the cohort-aggregation + validity-gate protocol from the technical report. +- **Single-seed training.** No variance estimate across retraining runs; expected val-accuracy drift of ± 0.5 pp on re-runs with a different seed. +- **Factor-level (not filing-level) train/val split.** Factors from the same filing can appear in both splits. Does not affect the downstream test-set metrics because the test set is filing-level and time-ordered (2023–mid-2025), but the 73.3% val accuracy should be read with this in mind. +- **Claude-derived labels.** Training labels reflect Claude Opus's financial-materiality rubric, not a human-panel gold standard. Opus-vs-human agreement was not measured. +- **8-K filings excluded.** Event-driven filings break the 60-question taxonomy; model has not been trained on them. +- **Beta-one signal.** Dollar-neutral portfolios built on this model's predictions have |β| ≈ 2.0 against SPY in backtests — not beta-neutral (see report §13). + +## Ethical Considerations + +- Training labels were generated via the Anthropic API (Claude Opus). Use of Claude outputs to train a model is permitted under Anthropic's Commercial Terms for non-competing, domain-specific applications; this model is a 5-class sentiment classifier for SEC filings, not a general-purpose assistant. +- Predictions are for **research and reproducibility** of the capstone results. Not investment advice. Not audited for deployment in any regulated context. +- SEC filings are U.S. public-domain government documents (EDGAR). No PII. + +## Citation + +```bibtex +@techreport{siddartha2026reasoningaugmented, + title = {Reasoning-Augmented Factor Extraction: + Enhancing SEC Sentiment Signals through Reinforcement Learning}, + author = {Siddartha, Roshan and Tu, Maggie and Butskhrikidze, Luka}, + year = {2026}, + month = {April}, + institution = {Vanderbilt University Data Science Institute}, + note = {AllianceBernstein × Vanderbilt DSI Capstone. Course: + NLP for Asset Management. Instructor: Che Guan.} +} +``` + +## License & Acknowledgements + +- **Model license:** MIT (matches upstream DeepSeek-R1-Distill-Qwen-14B). +- Upstream base model: DeepSeek-AI, released under MIT. See [`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) for their model card. +- Training labels generated via the Anthropic API (Claude Opus family). +- Compute provided by Vanderbilt University ACCRE (DGX A100). +- Project advised by Che Guan, Vanderbilt Data Science Institute. + +## Companion Model + +The `sft_grpo` variant of this model adds a GRPO alignment stage on top of the SFT checkpoint, using a composite ordinal-plus-anti-neutral reward against realized-return-quintile gold labels. It is the stronger variant on the portfolio-level backtest (L/S cohort spread 8.12% at H=21d vs 4.88% for SFT alone; adding a Self-Consistency Best-of-N decoding overlay at inference time gives a variant we label `sft_grpo_bon` at 8.09% — see technical report §9 and §11.3): + +→ [`rroshann/sec-sentiment-sftgrpo-deepseek-14b`](https://huggingface.co/rroshann/sec-sentiment-sftgrpo-deepseek-14b) diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..c2066bd --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1 @@ +{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>\n'}}{% endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..fd1960c --- /dev/null +++ b/config.json @@ -0,0 +1,81 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "float16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 131072, + "max_window_layers": 48, + "model_type": "qwen2", + "num_attention_heads": 40, + "num_hidden_layers": 48, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-05, + "rope_parameters": { + "rope_theta": 1000000.0, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.3.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 152064 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..a3c6b74 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 151646, + "do_sample": true, + "eos_token_id": 151643, + "temperature": 0.6, + "top_p": 0.95, + "transformers_version": "5.3.0" +} diff --git a/model-00001-of-00006.safetensors b/model-00001-of-00006.safetensors new file mode 100644 index 0000000..472f4e6 --- /dev/null +++ b/model-00001-of-00006.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:799e4342164d45661fcd812ae90ceb09f0217adc8e7f2866e0acc9ce996e5526 +size 4907454904 diff --git a/model-00002-of-00006.safetensors b/model-00002-of-00006.safetensors new file mode 100644 index 0000000..7ab2424 --- /dev/null +++ b/model-00002-of-00006.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66a4992587aeccadd80610f6bc43dc6e77ab565913eb88367123d260175e0a95 +size 4954847200 diff --git a/model-00003-of-00006.safetensors b/model-00003-of-00006.safetensors new file mode 100644 index 0000000..0b75edf --- /dev/null +++ b/model-00003-of-00006.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be7c1f6702b1b590d1dba2c3ed3d930341eca7524e348259fcc6aab845ecf41f +size 4954847280 diff --git a/model-00004-of-00006.safetensors b/model-00004-of-00006.safetensors new file mode 100644 index 0000000..09ab910 --- /dev/null +++ b/model-00004-of-00006.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0bbeb9466e16f5613cc1daa2a71ee6b1f6b8b4c04c755510c7e0fdc58f1b009e +size 4954847280 diff --git a/model-00005-of-00006.safetensors b/model-00005-of-00006.safetensors new file mode 100644 index 0000000..02a0034 --- /dev/null +++ b/model-00005-of-00006.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94b1b35ce0ed4884fd946e90c2757cc2b6fbeb9350356e822f8e2f08ccdc2560 +size 4954847280 diff --git a/model-00006-of-00006.safetensors b/model-00006-of-00006.safetensors new file mode 100644 index 0000000..3270f95 --- /dev/null +++ b/model-00006-of-00006.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3116088a5a7fffb212617a6c2c012d3e9a037c0b99a3c0f2d3ae1986f6a194d8 +size 4813289384 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..1ce7d1c --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,587 @@ +{ + "metadata": { + "total_parameters": 14770033664, + "total_size": 29540067328 + }, + "weight_map": { + "lm_head.weight": "model-00001-of-00006.safetensors", + "model.embed_tokens.weight": "model-00001-of-00006.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00006.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00006.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.k_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.q_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.v_proj.bias": "model-00004-of-00006.safetensors", + "model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.30.input_layernorm.weight": "model-00004-of-00006.safetensors", + "model.layers.30.mlp.down_proj.weight": "model-00004-of-00006.safetensors", + "model.layers.30.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.30.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.30.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.32.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.33.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.38.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.mlp.up_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.post_attention_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.k_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.q_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.v_proj.bias": "model-00005-of-00006.safetensors", + "model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.39.input_layernorm.weight": "model-00005-of-00006.safetensors", + "model.layers.39.mlp.down_proj.weight": "model-00005-of-00006.safetensors", + "model.layers.39.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.39.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.39.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.4.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.40.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.40.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.40.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.40.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.40.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.40.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.41.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.41.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.42.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.42.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.43.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.43.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.44.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.44.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.45.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.45.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.46.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.46.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.input_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.47.mlp.down_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.mlp.gate_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.mlp.up_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.post_attention_layernorm.weight": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.k_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.k_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.o_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.q_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.q_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.v_proj.bias": "model-00006-of-00006.safetensors", + "model.layers.47.self_attn.v_proj.weight": "model-00006-of-00006.safetensors", + "model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00006.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors", + "model.norm.weight": "model-00006-of-00006.safetensors" + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..4306d79 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:322664cdc3082b6eba003af5228a77ca1d7936d402e584ecde8f15d3d98bdb72 +size 11421911 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..cab3a59 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,13 @@ +{ + "backend": "tokenizers", + "bos_token": "<｜begin▁of▁sentence｜>", + "clean_up_tokenization_spaces": false, + "eos_token": "<｜end▁of▁sentence｜>", + "is_local": false, + "legacy": true, + "model_max_length": 16384, + "pad_token": "<｜end▁of▁sentence｜>", + "sp_model_kwargs": {}, + "tokenizer_class": "TokenizersBackend", + "unk_token": null +}