K-intelligence/Midm-2.0-Base-Instruct
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: K-intelligence/Midm-2.0-Base-Instruct
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-07 16:41:09 +08:00
commit 81494e0232
17 changed files with 1898 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
.gitattributes vendored Normal file
View File

@@ -0,0 +1,49 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bin.* filter=lfs diff=lfs merge=lfs -text
*.bz2 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
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack 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
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
saved_model/**/* 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
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zstandard filter=lfs diff=lfs merge=lfs -text
*.tfevents* filter=lfs diff=lfs merge=lfs -text
*.db* filter=lfs diff=lfs merge=lfs -text
*.ark* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.gguf* filter=lfs diff=lfs merge=lfs -text
*.ggml filter=lfs diff=lfs merge=lfs -text
*.llamafile* filter=lfs diff=lfs merge=lfs -text
*.pt2 filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.wasm 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

21
LICENSE.txt Normal file
View File

@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2025 KT Corporation
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

597
README.md Normal file
View File

@@ -0,0 +1,597 @@
---
license: mit
language:
- en
- ko
tags:
- KT
- K-intelligence
- Mi:dm
inference: true
pipeline_tag: text-generation
library_name: transformers
---
<p align="center">
<br>
<span style="font-size: 60px; font-weight: bold;">Mi:dm 2.0 Base</span>
</br>
</p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/K-intelligence/mi-dm-20-6866406c301e5f45a6926af8">Mi:dm 2.0 Models</a> |
📜 <a href="https://github.com/K-intelligence-Midm/Midm-2.0/blob/main/Mi_dm2_0__technical_report.pdf">Mi:dm 2.0 Technical Report</a> |
📕 <a href="https://kode.kt.com/blog/article/3935">Mi:dm 2.0 Technical Blog</a>
</p>
<br>
# News 📢
- 🔧`2025/10/29`: Added support for function calling on vLLM with Mi:dm 2.0 parser.
- 📕`2025/08/08`: Published a technical blog article about Mi:dm 2.0 Model.
- ⚡️`2025/07/04`: Released Mi:dm 2.0 Model collection on Hugging Face🤗.
<br>
<br>
# Table of Contents
- ___Overview___
- [Mi:dm 2.0](#midm-20)
- [Quickstart](#quickstart)
- [Evaluation](#evaluation)
- ___Usage___
- [Run on Friendli.AI](#run-on-friendliai)
- [Run on Your Local Machine](#run-on-your-local-machine)
- [Deployment](#deployment)
- [Tutorials](#tutorials)
- ___More Information___
- [Limitation](#limitation)
- [License](#license)
- [Contact](#contact)
<br>
<br>
# Overview
## Mi:dm 2.0
**Mi:dm 2.0** is a __"Korea-centric AI"__ model developed using KT's proprietary technology. The term __"Korea-centric AI"__ refers to a model that deeply internalizes the unique values, cognitive frameworks, and commonsense reasoning inherent to Korean society. It goes beyond simply processing or generating Korean text—it reflects a deeper understanding of the socio-cultural norms and values that define Korean society.
Mi:dm 2.0 is released in two versions:
- **Mi:dm 2.0 Base**
An 11.5B parameter dense model designed to balance model size and performance.
It extends an 8B-scale model by applying the Depth-up Scaling (DuS) method, making it suitable for real-world applications that require both performance and versatility.
- **Mi:dm 2.0 Mini**
A lightweight 2.3B parameter dense model optimized for on-device environments and systems with limited GPU resources.
It was derived from the Base model through pruning and distillation to enable compact deployment.
> [!Note]
> Neither the pre-training nor the post-training data includes KT users' data.
<br>
## Quickstart
Here is the code snippet to run conversational inference with the model:
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
model_name = "K-intelligence/Midm-2.0-Base-Instruct"
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.bfloat16,
trust_remote_code=True,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)
generation_config = GenerationConfig.from_pretrained(model_name)
prompt = "KT에 대해 소개해줘"
# message for inference
messages = [
{"role": "system",
"content": "Mi:dm(믿:음)은 KT에서 개발한 AI 기반 어시스턴트이다."},
{"role": "user", "content": prompt}
]
input_ids = tokenizer.apply_chat_template(
messages,
tokenize=True,
add_generation_prompt=True,
return_tensors="pt"
)
output = model.generate(
input_ids.to("cuda"),
generation_config=generation_config,
eos_token_id=tokenizer.eos_token_id,
max_new_tokens=128,
do_sample=False,
)
print(tokenizer.decode(output[0]))
```
> [!NOTE]
> The `transformers` library should be version `4.45.0` or higher.
<br>
## Evaluation
### Korean
<!-- first half table-->
<table>
<tr>
<th rowspan="2">Model</th>
<th colspan="5" align="center">Society & Culture</th>
<th colspan="3" align="center">General Knowledge</th>
<th colspan="3" align="center">Instruction Following</th>
</tr>
<tr>
<th align="center">K-Refer<sup>*</sup></th>
<th align="center">K-Refer-Hard<sup>*</sup></th>
<th align="center">Ko-Sovereign<sup>*</sup></th>
<th align="center">HAERAE</th>
<th align="center">Avg.</th>
<th align="center">KMMLU</th>
<th align="center">Ko-Sovereign<sup>*</sup></th>
<th align="center">Avg.</th>
<th align="center">Ko-IFEval</th>
<th align="center">Ko-MTBench</th>
<th align="center">Avg.</th>
</tr>
<!-- Small Models -->
<tr>
<td><strong>Qwen3-4B</strong></td>
<td align="center">53.6</td>
<td align="center">42.9</td>
<td align="center">35.8</td>
<td align="center">50.6</td>
<td align="center">45.7</td>
<td align="center"><strong>50.6</strong></td>
<td align="center"><strong>42.5</strong></td>
<td align="center"><strong>46.5</strong></td>
<td align="center"><strong>75.9</strong></td>
<td align="center">63.0</td>
<td align="center">69.4</td>
</tr>
<tr>
<td><strong>Exaone-3.5-2.4B-inst</strong></td>
<td align="center">64.0</td>
<td align="center"><strong>67.1</strong></td>
<td align="center"><strong>44.4</strong></td>
<td align="center">61.3</td>
<td align="center"><strong>59.2</strong></td>
<td align="center">43.5</td>
<td align="center">42.4</td>
<td align="center">43.0</td>
<td align="center">65.4</td>
<td align="center"><strong>74.0</strong></td>
<td align="center">68.9</td>
</tr>
<tr>
<td><strong>Mi:dm 2.0-Mini-inst</strong></td>
<td align="center"><strong>66.4</strong></td>
<td align="center">61.4</td>
<td align="center">36.7</td>
<td align="center"><strong>70.8</strong></td>
<td align="center">58.8</td>
<td align="center">45.1</td>
<td align="center">42.4</td>
<td align="center">43.8</td>
<td align="center">73.3</td>
<td align="center"><strong>74.0</strong></td>
<td align="center"><strong>73.6</strong></td>
</tr>
<!-- Spacer row -->
<tr><td colspan="13"> </td></tr>
<!-- Large Models -->
<tr>
<td><strong>Qwen3-14B</strong></td>
<td align="center">72.4</td>
<td align="center">65.7</td>
<td align="center">49.8</td>
<td align="center">68.4</td>
<td align="center">64.1</td>
<td align="center">55.4</td>
<td align="center">54.7</td>
<td align="center">55.1</td>
<td align="center"><strong>83.6</strong></td>
<td align="center">71</td>
<td align="center">77.3</td>
</tr>
<tr>
<td><strong>Llama-3.1-8B-inst</strong></td>
<td align="center">43.2</td>
<td align="center">36.4</td>
<td align="center">33.8</td>
<td align="center">49.5</td>
<td align="center">40.7</td>
<td align="center">33.0</td>
<td align="center">36.7</td>
<td align="center">34.8</td>
<td align="center">60.1</td>
<td align="center">57</td>
<td align="center">58.5</td>
</tr>
<tr>
<td><strong>Exaone-3.5-7.8B-inst</strong></td>
<td align="center">71.6</td>
<td align="center">69.3</td>
<td align="center">46.9</td>
<td align="center">72.9</td>
<td align="center">65.2</td>
<td align="center">52.6</td>
<td align="center">45.6</td>
<td align="center">49.1</td>
<td align="center">69.1</td>
<td align="center">79.6</td>
<td align="center">74.4</td>
</tr>
<tr>
<td><strong>Mi:dm 2.0-Base-inst</strong></td>
<td align="center"><strong>89.6</strong></td>
<td align="center"><strong>86.4</strong></td>
<td align="center"><strong>56.3</strong></td>
<td align="center"><strong>81.5</strong></td>
<td align="center"><strong>78.4</strong></td>
<td align="center"><strong>57.3</strong></td>
<td align="center"><strong>58.0</strong></td>
<td align="center"><strong>57.7</strong></td>
<td align="center">82</td>
<td align="center"><strong>89.7</strong></td>
<td align="center"><strong>85.9</strong></td>
</tr>
</table>
<!-- second half table-->
<table>
<tr>
<th rowspan="2" align="center">Model</th>
<th colspan="5" align="center">Comprehension</th>
<th colspan="5" align="center">Reasoning</th>
</tr>
<tr>
<th align="center">K-Prag<sup>*</sup></th>
<th align="center">K-Refer-Hard<sup>*</sup></th>
<th align="center">Ko-Best</th>
<th align="center">Ko-Sovereign<sup>*</sup></th>
<th align="center">Avg.</th>
<th align="center">Ko-Winogrande</th>
<th align="center">Ko-Best</th>
<th align="center">LogicKor</th>
<th align="center">HRM8K</th>
<th align="center">Avg.</th>
</tr>
<!-- Small Models -->
<tr>
<td><strong>Qwen3-4B</strong></td>
<td align="center"><strong>73.9<strong></td>
<td align="center">56.7</td>
<td align="center"><strong>91.5</strong></td>
<td align="center"><strong>43.5</strong></td>
<td align="center"><strong>66.6</strong></td>
<td align="center"><strong>67.5</strong></td>
<td align="center"><strong>69.2</strong></td>
<td align="center">5.6</td>
<td align="center"><strong>56.7</strong></td>
<td align="center"><strong>43.8</strong></td>
</tr>
<tr>
<td><strong>Exaone-3.5-2.4B-inst</strong></td>
<td align="center">68.7</td>
<td align="center"><strong>58.5</strong></td>
<td align="center">87.2</td>
<td align="center">38.0</td>
<td align="center">62.5</td>
<td align="center">60.3</td>
<td align="center">64.1</td>
<td align="center">7.4</td>
<td align="center">38.5</td>
<td align="center">36.7</td>
</tr>
<tr>
<td><strong>Mi:dm 2.0-Mini-inst</strong></td>
<td align="center">69.5</td>
<td align="center">55.4</td>
<td align="center">80.5</td>
<td align="center">42.5</td>
<td align="center">61.9</td>
<td align="center">61.7</td>
<td align="center">64.5</td>
<td align="center"><strong>7.7</strong></td>
<td align="center">39.9</td>
<td align="center">37.4</td>
</tr>
<!-- Visual Spacer -->
<tr><td colspan="11"> </td></tr>
<!-- Large Models -->
<tr>
<td><strong>Qwen3-14B</strong></td>
<td align="center"><strong>86.7</strong></td>
<td align="center"><strong>74.0</strong></td>
<td align="center">93.9</td>
<td align="center">52.0</td>
<td align="center"><strong>76.8</strong></td>
<td align="center"><strong>77.2</strong></td>
<td align="center"><strong>75.4</strong></td>
<td align="center">6.4</td>
<td align="center"><strong>64.5</strong></td>
<td align="center"><strong>48.8</strong></td>
</tr>
<tr>
<td><strong>Llama-3.1-8B-inst</strong></td>
<td align="center">59.9</td>
<td align="center">48.6</td>
<td align="center">77.4</td>
<td align="center">31.5</td>
<td align="center">51.5</td>
<td align="center">40.1</td>
<td align="center">26.0</td>
<td align="center">2.4</td>
<td align="center">30.9</td>
<td align="center">19.8</td>
</tr>
<tr>
<td><strong>Exaone-3.5-7.8B-inst</strong></td>
<td align="center">73.5</td>
<td align="center">61.9</td>
<td align="center">92.0</td>
<td align="center">44.0</td>
<td align="center">67.2</td>
<td align="center">64.6</td>
<td align="center">60.3</td>
<td align="center"><strong>8.6</strong></td>
<td align="center">49.7</td>
<td align="center">39.5</td>
</tr>
<tr>
<td><strong>Mi:dm 2.0-Base-inst</strong></td>
<td align="center">86.5</td>
<td align="center">70.8</td>
<td align="center"><strong>95.2</strong></td>
<td align="center"><strong>53.0</strong></td>
<td align="center">76.1</td>
<td align="center">75.1</td>
<td align="center">73.0</td>
<td align="center"><strong>8.6</strong></td>
<td align="center">52.9</td>
<td align="center">44.8</td>
</tr>
</table>
`*` indicates KT proprietary evaluation resources.
<br>
### English
<table>
<tr>
<th rowspan="2" align="center">Model</th>
<th align="center">Instruction</th>
<th colspan="4" align="center">Reasoning</th>
<th align="center">Math</th>
<th align="center">Coding</th>
<th colspan="3" align="center">General Knowledge</th>
</tr>
<tr>
<th align="center">IFEval</th>
<th align="center">BBH</th>
<th align="center">GPQA</th>
<th align="center">MuSR</th>
<th align="center">Avg.</th>
<th align="center">GSM8K</th>
<th align="center">MBPP+</th>
<th align="center">MMLU-pro</th>
<th align="center">MMLU</th>
<th align="center">Avg.</th>
</tr>
<!-- Small Models -->
<tr>
<td><strong>Qwen3-4B</strong></td>
<td align="center">79.7</td>
<td align="center"><strong>79.0</strong></td>
<td align="center"><strong>39.8</strong></td>
<td align="center"><strong>58.5</strong></td>
<td align="center"><strong>59.1</strong></td>
<td align="center"><strong>90.4</strong></td>
<td align="center">62.4</td>
<td align="center">-</td>
<td align="center"><strong>73.3</strong></td>
<td align="center"><strong>73.3</strong></td>
</tr>
<tr>
<td><strong>Exaone-3.5-2.4B-inst</strong></td>
<td align="center"><strong>81.1</strong></td>
<td align="center">46.4</td>
<td align="center">28.1</td>
<td align="center">49.7</td>
<td align="center">41.4</td>
<td align="center">82.5</td>
<td align="center">59.8</td>
<td align="center">-</td>
<td align="center">59.5</td>
<td align="center">59.5</td>
</tr>
<tr>
<td><strong>Mi:dm 2.0-Mini-inst</strong></td>
<td align="center">73.6</td>
<td align="center">44.5</td>
<td align="center">26.6</td>
<td align="center">51.7</td>
<td align="center">40.9</td>
<td align="center">83.1</td>
<td align="center"><strong>60.9</strong></td>
<td align="center">-</td>
<td align="center">56.5</td>
<td align="center">56.5</td>
</tr>
<tr><td colspan="11">&nbsp;</td></tr>
<!-- Large Models -->
<tr>
<td><strong>Qwen3-14B</strong></td>
<td align="center">83.9</td>
<td align="center"><strong>83.4</strong></td>
<td align="center"><strong>49.8</strong></td>
<td align="center"><strong>57.7</strong></td>
<td align="center"><strong>63.6</strong></td>
<td align="center">88.0</td>
<td align="center">73.4</td>
<td align="center"><strong>70.5</strong></td>
<td align="center"><strong>82.7</strong></td>
<td align="center"><strong>76.6</strong></td>
</tr>
<tr>
<td><strong>Llama-3.1-8B-inst</strong></td>
<td align="center">79.9</td>
<td align="center">60.3</td>
<td align="center">21.6</td>
<td align="center">50.3</td>
<td align="center">44.1</td>
<td align="center">81.2</td>
<td align="center"><strong>81.8</strong></td>
<td align="center">47.6</td>
<td align="center">70.7</td>
<td align="center">59.2</td>
</tr>
<tr>
<td><strong>Exaone-3.5-7.8B-inst</strong></td>
<td align="center">83.6</td>
<td align="center">50.1</td>
<td align="center">33.1</td>
<td align="center">51.2</td>
<td align="center">44.8</td>
<td align="center">81.1</td>
<td align="center">79.4</td>
<td align="center">40.7</td>
<td align="center">69.0</td>
<td align="center">54.8</td>
</tr>
<tr>
<td><strong>Mi:dm 2.0-Base-inst</strong></td>
<td align="center"><strong>84.0</strong></td>
<td align="center">77.7</td>
<td align="center">33.5</td>
<td align="center">51.9</td>
<td align="center">54.4</td>
<td align="center"><strong>91.6</strong></td>
<td align="center">77.5</td>
<td align="center">53.3</td>
<td align="center">73.7</td>
<td align="center">63.5</td>
</tr>
</table>
<br>
# Usage
## Run on Friendli.AI
You can try our model immediately via `Friendli.AI`. Simply click `Deploy` and then `Friendli Endpoints`.
> [!Note]
> Please note that a login to `Friendli.AI` is required after your fifth chat interaction.
<p>
<img src="./assets/image_1.png" alt="Left Image" width="36%" style="display:inline-block; margin-right:2%">
<img src="./assets/image_2.png" alt="Right Image" width="36%" style="display:inline-block">
</p>
## Run on Your Local Machine
We provide a detailed description about running Mi:dm 2.0 on your local machine using llama.cpp, LM Studio, and Ollama. Please check our [github](https://github.com/K-intelligence-Midm/Midm-2.0) for more information
## Deployment
#### Basic Serving
To serve Mi:dm 2.0 using [vLLM](https://github.com/vllm-project/vllm)(`>=0.8.0`) with an OpenAI-compatible API:
```bash
vllm serve K-intelligence/Midm-2.0-Base-Instruct
```
#### With Function Calling
For advanced function calling tasks, you can serve Mi:dm 2.0 with our own tool parser:
1. Download and place [Mi:dm 2.0 parser file](https://github.com/K-intelligence-Midm/Midm-2.0/blob/main/tutorial/03_open-webui/modelfile/midm_parser.py) in your working directory.
2. Run the following Docker command to launch the vLLM server with our custom parser file:
```bash
docker run --rm -it --gpus all -p 8000:8000 \
-e HUGGING_FACE_HUB_TOKEN="<YOUR_HUGGINGFACE_TOKEN>" \
-v "$(pwd)/midm_parser.py:/custom/midm_parser.py" \
vllm/vllm-openai:v0.11.0 \
--model K-intelligence/Midm-2.0-Base-Instruct \
--enable-auto-tool-choice \
--tool-parser-plugin /custom/midm_parser.py \
--tool-call-parser midm-parser \
--host 0.0.0.0
```
>[!Note]
> This setup is compatible with `vllm/vllm-openai:v0.8.0` and later, but we strongly recommend using `v0.11.0` for optimal stability and compatibility with our parser.
## Tutorials
To help our end-users easily use Mi:dm 2.0, we have provided comprehensive tutorials on [github](https://github.com/K-intelligence-Midm/Midm-2.0).
<br>
<br>
<br>
# More Information
## Limitation
* The training data for both Mi:dm 2.0 models consists primarily of English and Korean. Understanding and generation in other languages are not guaranteed.
* The model is not guaranteed to provide reliable advice in fields that require professional expertise, such as law, medicine, or finance.
* Researchers have made efforts to exclude unethical content from the training data — such as profanity, slurs, bias, and discriminatory language. However, despite these efforts, the model may still produce inappropriate expressions or factual inaccuracies.
## License
Mi:dm 2.0 is licensed under the [MIT License](./LICENSE).
<!-- ### Citation
```
@misc{,
title={},
author={},
year={2025},
eprint={},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={},
}
``` -->
## Contact
Mi:dm 2.0 Technical Inquiries: midm-llm@kt.com
<br>

BIN
assets/image_1.png Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 66 KiB

BIN
assets/image_2.png Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 126 KiB

31
config.json Normal file
View File

@@ -0,0 +1,31 @@
{
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_dropout_prob": 0.0,
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 48,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 8000000,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.51.3",
"use_cache": true,
"vocab_size": 131384
}

1
configuration.json Normal file
View File

@@ -0,0 +1 @@
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

10
generation_config.json Normal file
View File

@@ -0,0 +1,10 @@
{
"bos_token_id": 0,
"do_sample": true,
"eos_token_id": 2,
"repetition_penalty": 1.05,
"temperature": 0.8,
"top_k": 20,
"top_p": 0.7,
"transformers_version": "4.51.3"
}

3
model-00001-of-00005.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:16a89c6f9a06f178441f63c914ed33b4deda73f1407563ee9e63b2c6ecb01973
size 4884866008

3
model-00002-of-00005.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e8f01a498141a6d202a9323346f21d607489dcad22cc7a96838def6a955555ea
size 4999819328

3
model-00003-of-00005.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2cd98cbe3301443a4512c4057b866e55ae04cc06649b1f1895eaf0c9ea93a38c
size 4915916184

3
model-00004-of-00005.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e7d8d7e6fabbbbf4fed8c3d1b76a4bdad8b46cc05f7472da2cf0e299225229e6
size 4915916176

3
model-00005-of-00005.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b06333f3782bbd8cbd02156b5f945ecde78fe63778e7aa519c4cbbb4b103520
size 3374888640

442
model.safetensors.index.json Normal file
View File

@@ -0,0 +1,442 @@
{
"metadata": {
"total_size": 23091355648
},
"weight_map": {
"lm_head.weight": "model-00005-of-00005.safetensors",
"model.embed_tokens.weight": "model-00001-of-00005.safetensors",
"model.layers.0.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.10.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.2.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.20.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.21.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.3.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.30.input_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00005.safetensors",
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.31.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.31.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00005.safetensors",
"model.layers.32.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.32.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.32.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.32.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.32.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.32.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.32.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.32.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.32.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.33.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.33.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.33.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.34.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.34.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.34.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.35.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.35.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.35.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.36.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.36.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.36.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.37.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.37.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.37.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.38.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.38.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.38.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.39.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.39.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.39.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.4.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.40.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.40.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.40.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.40.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.40.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.40.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.40.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.40.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.40.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.input_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.41.mlp.down_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.post_attention_layernorm.weight": "model-00004-of-00005.safetensors",
"model.layers.41.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.41.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.42.input_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.42.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.42.mlp.gate_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.42.mlp.up_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.42.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.42.self_attn.k_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.42.self_attn.o_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.42.self_attn.q_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.42.self_attn.v_proj.weight": "model-00004-of-00005.safetensors",
"model.layers.43.input_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.43.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.43.mlp.gate_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.43.mlp.up_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.43.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.43.self_attn.k_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.43.self_attn.o_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.43.self_attn.q_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.43.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.input_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.44.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.mlp.gate_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.mlp.up_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.44.self_attn.k_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.self_attn.o_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.self_attn.q_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.44.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.input_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.45.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.mlp.gate_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.mlp.up_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.45.self_attn.k_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.self_attn.o_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.self_attn.q_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.45.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.input_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.46.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.mlp.gate_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.mlp.up_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.46.self_attn.k_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.self_attn.o_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.self_attn.q_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.46.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.input_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.47.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.mlp.gate_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.mlp.up_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
"model.layers.47.self_attn.k_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.self_attn.o_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.self_attn.q_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.47.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
"model.layers.5.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.input_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.8.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
"model.layers.9.input_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00005.safetensors",
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00005.safetensors",
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00005.safetensors",
"model.norm.weight": "model-00005-of-00005.safetensors"
}
}

23
special_tokens_map.json Normal file
View File

@@ -0,0 +1,23 @@
{
"bos_token": {
"content": "<|begin_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|end_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|end_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

3
tokenizer.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:56af6093020d6923882ebc787e4c22b74ac26bce41cbdc0e7952dd70a91baad7
size 10398090

706
tokenizer_config.json Normal file
View File

File diff suppressed because one or more lines are too long