初始化项目,由ModelHub XC社区提供模型
Model: KOREAson/KO-REAson-K2505_8B-0831 Source: Original Platform
This commit is contained in:
56
.gitattributes
vendored
Normal file
56
.gitattributes
vendored
Normal file
@@ -0,0 +1,56 @@
|
|||||||
|
*.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
|
||||||
|
|
||||||
|
*.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
|
||||||
|
|
||||||
|
model-00005-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00006-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00001-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00007-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00002-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00004-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00003-of-00007.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||||
242
README.md
Normal file
242
README.md
Normal file
@@ -0,0 +1,242 @@
|
|||||||
|
---
|
||||||
|
library_name: transformers
|
||||||
|
tags: []
|
||||||
|
---
|
||||||
|
|
||||||
|
# KO-REAson
|
||||||
|
|
||||||
|
**KO-REAson** is a series of Korean-centric reasoning language models developed in collaboration with [OneLineAI](https://onelineai.com/), [KISTI-KONI](https://huggingface.co/KISTI-KONI), [HAE-RAE](https://huggingface.co/HAERAE-HUB) and ORACLE.
|
||||||
|
|
||||||
|
We use the **Language-Mixed Chain-of-Thought (CoT)** approach, which allows the model to alternate between English and Korean during the “Think” stage of reasoning, preserving key Korean terms while leveraging English for logical scaffolding.
|
||||||
|
|
||||||
|
Top-performing models of our series [KO-REAson-AX3_1-7B-0831 (KONI-7B-R-20250831)](https://huggingface.co/KISTI-KONI/KONI-7B-R-20250831) and [KO-REAson-7B-Q2_5-0831](https://huggingface.co/KoReason/KO-REASon-7B-Q2_5-0831) show performance comparable to models trained on closed-source datasets such as Exaone-Deep-7.8B.
|
||||||
|
|
||||||
|
|
||||||
|
<p align="left">
|
||||||
|
<img src="https://cdn-uploads.huggingface.co/production/uploads/60d3e619b8448e1785bbda2a/uqrKdxbQEqAFknYBmuH7Y.png"
|
||||||
|
alt="Model Comparison" width="750"/>
|
||||||
|
<br>
|
||||||
|
<em style="display:inline-block; max-width:750px; text-align:cener; white-space:normal; word-wrap:break-word; line-height:1.5;">
|
||||||
|
<b>Left:</b> Average performance (Held-out-Ko) of open models trained on closed or open data;
|
||||||
|
our models are highlighted in green.
|
||||||
|
</em>
|
||||||
|
</p>
|
||||||
|
|
||||||
|
## Model Details
|
||||||
|
|
||||||
|
The **KO-REAson-0831** family comes in six variants based on the base model used.
|
||||||
|
|
||||||
|
| Model (link) | Base | Notes |
|
||||||
|
| -------------------------------------------------------------------------------------------- | -------------------- | --------------------------- |
|
||||||
|
| [KO-REAson-L3_1-8B-0831](https://huggingface.co/KoReason/KO-REASon-L3_1-8B-0831) | [Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) | `L3_1` → Llama-3.1-8B |
|
||||||
|
| [KO-REAson-KL3_1-8B-0831](https://huggingface.co/KOREAson/KO-REAson-KL3_1-8B-0831) | [Koni-Llama-3.1-8B](https://huggingface.co/KISTI-KONI/KONI-Llama3.1-8B-Instruct-20241024) | `KL3_1` → Koni-Llama-3.1-8B; also called [KONI-Llama3.1-8B-R-20250831](https://huggingface.co/KISTI-KONI/KONI-Llama3.1-8B-R-20250831) |
|
||||||
|
| [KO-REAson-G3-4B-0831](https://huggingface.co/KoReason/KO-REASon-G3-4B-0831) | [Gemma-3 4B](https://huggingface.co/google/gemma-3-4b-it) | `G3` → Gemma-3-4B |
|
||||||
|
| [KO-REAson-AX3_1-7B-0831](https://huggingface.co/KOREAson/KO-REAson-7B-AX3_1-0831) | [A.X.-3.1-Light (≈7B)](https://huggingface.co/skt/A.X-3.1-Light) | `AX3_1` → A.X.-3.1-Light; also called [KONI-7B-R-20250831](https://huggingface.co/KISTI-KONI/KONI-7B-R-20250831) |
|
||||||
|
| [KO-REAson-K2505_8B-0831](https://huggingface.co/KoReason/KO-REASon-K2505_8B-0831) | [Kanana-2505 (8B)](https://huggingface.co/kakaocorp/kanana-1.5-8b-instruct-2505) | `K2505` → Kanana-2505 |
|
||||||
|
| [KO-REAson-7B-Q2_5-0831](https://huggingface.co/KoReason/KO-REASon-7B-Q2_5-0831) | [Qwen-2.5 (7B)](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) | `Q2_5` → Qwen-2.5 |
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# Performance
|
||||||
|
|
||||||
|
**Evaluation Datasets**
|
||||||
|
|
||||||
|
The model's performance was evaluated across a total of 11 benchmarks, and the evaluation suite is divided into two parts: (You can check these benchmarks in [HAERAE-HUB/KoSimpleEval](https://huggingface.co/datasets/HAERAE-HUB/KoSimpleEval))
|
||||||
|
|
||||||
|
- **Held-in**: This set of benchmarks is used for routine monitoring of the model's performance during the training and ablation study phases.
|
||||||
|
- **Held-out**: This set is used only once to evaluate the final model after all training and ablations are complete.
|
||||||
|
|
||||||
|
This separation is designed to prevent inadvertent overfitting to the benchmarks during the iterative training process and to provide a more accurate measure of the model's generalization capabilities.
|
||||||
|
|
||||||
|
|**Category**|**Held-in**|**Held-out**|
|
||||||
|
|---|---|---|
|
||||||
|
|**General Knowledge**|KMMLU-Redux|KMMLU-HARD, KMMLU-Pro|
|
||||||
|
|**Reasoning**|MCLM|KSM, GPQA, AIME2024, AIME2025|
|
||||||
|
|**Korean-specific**|HAE-RAE Bench|CLIcK, KoBALT-700|
|
||||||
|
|
||||||
|
|
||||||
|
**Comparison with models trained on public datasets**
|
||||||
|
|
||||||
|
<table>
|
||||||
|
<thead>
|
||||||
|
<tr>
|
||||||
|
<th>Models</th>
|
||||||
|
<th># Instances</th>
|
||||||
|
<th>Methodology</th>
|
||||||
|
<th>Held-Out (Ko)</th>
|
||||||
|
<th>Held-Out (En)</th>
|
||||||
|
<th>Total</th>
|
||||||
|
</tr>
|
||||||
|
</thead>
|
||||||
|
<tbody>
|
||||||
|
<tr>
|
||||||
|
<th>KO-REASon-AX3_1-7B-0831(KONI-7B-R-20250831; Ours)</th>
|
||||||
|
<td>260k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td><b>44.6</b></td>
|
||||||
|
<td>41.2</td>
|
||||||
|
<td><u>43.3</u></td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>KO-REASon-7B-Q2_5-0831(Ours)</th>
|
||||||
|
<td>260k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td><b>45.10</b></td>
|
||||||
|
<td>38.75</td>
|
||||||
|
<td><u>49.95</u></td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>KO-REAson-KL3_1-8B-0831(KONI-Llama3.1-8B-R-20250831)</th>
|
||||||
|
<td>260k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td>40.13</td>
|
||||||
|
<td>30.57</td>
|
||||||
|
<td>43.66</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td colspan="6" style="text-align:center; font-weight:bold;">Open Recipe (En)</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>OpenThinker3-7B</th>
|
||||||
|
<td>1.2M</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td>33.6</td>
|
||||||
|
<td><b>55.5</b></td>
|
||||||
|
<td>41.8</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>s1.1-7B</th>
|
||||||
|
<td>1k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td>35.6</td>
|
||||||
|
<td>23.4</td>
|
||||||
|
<td>31.1</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>Llama-3.1-Nemotron-Nano-8B-v1</th>
|
||||||
|
<td>>3M</td>
|
||||||
|
<td>SFT & RL</td>
|
||||||
|
<td>27.0</td>
|
||||||
|
<td>44.1</td>
|
||||||
|
<td>33.4</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td colspan="6" style="text-align:center; font-weight:bold;">Open Recipe (Ko)</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>Ko-R1-14B</th>
|
||||||
|
<td>45k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td><u>43.7</u></td>
|
||||||
|
<td><u>46.3</u></td>
|
||||||
|
<td><b>44.7</b></td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>Ko-R1-7B</th>
|
||||||
|
<td>45k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td>27.3</td>
|
||||||
|
<td>36.1</td>
|
||||||
|
<td>30.6</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>LLaMa-3.1-Ko-Reasoning-8B</th>
|
||||||
|
<td>63k</td>
|
||||||
|
<td>SFT</td>
|
||||||
|
<td>17.7</td>
|
||||||
|
<td>7.7</td>
|
||||||
|
<td>14.0</td>
|
||||||
|
</tr>
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
|
||||||
|
**Held-out benchmark performance**
|
||||||
|
|
||||||
|
<table border="1" cellspacing="0" cellpadding="6">
|
||||||
|
<thead>
|
||||||
|
<tr>
|
||||||
|
<th rowspan="2">Model</th>
|
||||||
|
<th rowspan="2">Model Size</th>
|
||||||
|
<th colspan="2">General</th>
|
||||||
|
<th colspan="4">Reasoning</th>
|
||||||
|
<th colspan="2">Korean-Specific</th>
|
||||||
|
<th rowspan="2">Average<br>(Held-out)</th>
|
||||||
|
<th rowspan="2">Average<br>(Held-out-Ko)</th>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<th>KMMLU-HARD</th>
|
||||||
|
<th>KMMLU-Pro</th>
|
||||||
|
<th>KSM</th>
|
||||||
|
<th>AIME 2024</th>
|
||||||
|
<th>AIME 2025</th>
|
||||||
|
<th>GPQA</th>
|
||||||
|
<th>CLIcK</th>
|
||||||
|
<th>KoBALT-700</th>
|
||||||
|
</tr>
|
||||||
|
</thead>
|
||||||
|
<tbody>
|
||||||
|
<tr>
|
||||||
|
<td><b>Llama-3.1-Nemotron-Nano-8B</b></td>
|
||||||
|
<td>8.03</td><td>21.47</td><td>22.89</td><td>47.06</td><td>56.67</td><td>43.33</td><td>32.32</td><td>34.54</td><td>9.29</td><td>33.45</td><td>27.05</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>Llama-3.1-Korean-Reasoning-8B-Instruct</b></td>
|
||||||
|
<td>8.03</td><td>14.91</td><td>21.72</td><td>6.09</td><td>0.00</td><td>0.00</td><td>23.23</td><td>39.65</td><td>6.14</td><td>13.97</td><td>17.70</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>EXAONE-Deep-7.8B</b></td>
|
||||||
|
<td>7.82</td><td><u>40.96</u></td><td>37.35</td><td><b>70.80</b></td><td><b>70.00</b></td><td><b>63.33</b></td><td><b>64.65</b></td><td>54.24</td><td>18.86</td><td><b>52.52</b></td><td>44.44</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>DeepSeek-R1-Distill-Qwen-7B</b></td>
|
||||||
|
<td>7.62</td><td>0.00</td><td>23.00</td><td>56.09</td><td>60.00</td><td>40.00</td><td>43.43</td><td>0.00</td><td>8.29</td><td>28.85</td><td>17.48</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>DeepSeek-R1-Distill-Llama-8B</b></td>
|
||||||
|
<td>8.03</td><td>23.22</td><td>26.26</td><td>29.97</td><td>33.33</td><td>20.00</td><td><U>46.46</u></td><td>39.05</td><td>13.29</td><td>28.95</td><td>26.36</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>s1.1-7B</b></td>
|
||||||
|
<td>7.62</td><td>31.16</td><td><u>37.70</u></td><td>30.60</td><td>16.67</td><td>23.33</td><td>30.30</td><td><u>56.84</u></td><td><u>21.86</u></td><td>31.06</td><td>35.63</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>OpenThinker3-7B</b></td>
|
||||||
|
<td>7.62</td><td>30.31</td><td>26.26</td><td><u>63.59</u></td><td><u>66.67</u></td><td><u>53.33</u></td><td><u>46.46</u></td><td>47.69</td><td>10.14</td><td>35.63</td><td>30.60</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>Ko-R1-7B</b></td>
|
||||||
|
<td>7.61</td><td>28.46</td><td>19.31</td><td>51.61</td><td>46.67</td><td>33.33</td><td>28.28</td><td>32.48</td><td>4.71</td><td>30.61</td><td>27.31</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>KO-REAson-KL3_1-8B-0831(KONI-Llama3.1-8B-R-20250831)</b></td>
|
||||||
|
<td>8.03</td><td>44.64</td><td>40.08</td><td>37.96</td><td>23.33</td><td>30.00</td><td>38.38</td><td>56.39</td><td>21.57</td><td>30.57</td><td>40.13</td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>KO-REASon-AX3_1-7B-0831 (KONI-7B-R-20250831)</b></td>
|
||||||
|
<td>7.26</td><td>45.57</td><td>38.13</td><td>52.80</td><td>53.33</td><td>33.33</td><td>36.87</td><td><b>62.86</b></td><td>23.43</td><td><u>43.29</u></td><td><u>44.56</u></td>
|
||||||
|
</tr>
|
||||||
|
<tr>
|
||||||
|
<td><b>KO-REASon-7B-Q2_5-0831</b></td>
|
||||||
|
<td>7.26</td><td><b>46.81</b></td><td><b>44.93</b></td><td>48.11</td><td>43.33</td><td>30.00</td><td>42.93</td><td>60.65</td><td><b>25.00</b></td><td>42.72</td><td><b>45.10</b></td>
|
||||||
|
</tr>
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
|
||||||
|
|
||||||
|
## Citation
|
||||||
|
```
|
||||||
|
The paper will be released soon!
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
## Contact
|
||||||
|
|
||||||
|
For any questions contact us via the following email :)
|
||||||
|
|
||||||
|
```
|
||||||
|
spthsrbwls123@yonsei.ac.kr
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
## Acknowlegments
|
||||||
|
This research was supported by the Korea Institute of Science and Technology Information (KISTI) (No.(KISTI) K25L1M1C1), aimed at developing KONI (KISTI Open Neural Intelligence), a large language model specialized in science and technology.
|
||||||
320
chat_template.jinja
Normal file
320
chat_template.jinja
Normal file
@@ -0,0 +1,320 @@
|
|||||||
|
{# version=v3-llama3.1 #}{%- macro append_new_param_info(param_declaration, comment_info, examples_info, depth) -%}
|
||||||
|
{%- set offset = "" -%}
|
||||||
|
{%- if depth >= 1 -%}
|
||||||
|
{%- set offset = " " * depth -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if comment_info != "<|NONE|>" -%}
|
||||||
|
{{ "\n" + offset + comment_info }}
|
||||||
|
{%- if examples_info | length > 0 -%}
|
||||||
|
{# Append each example info #}
|
||||||
|
{%- for example in examples_info -%}
|
||||||
|
{{ "\n" + offset + "// " + example|string|replace("'", '"') }}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{ "\n" + offset + param_declaration }}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro convert_data_type(param_type) -%}
|
||||||
|
{%- if param_type == "integer" or param_type == "float" -%}
|
||||||
|
{{ "number" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ param_type }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro get_param_type(param) -%}
|
||||||
|
{%- set param_type = "any" -%}
|
||||||
|
|
||||||
|
{%- if "type" in param -%}
|
||||||
|
{%- set raw_param_type = param["type"] -%}
|
||||||
|
{%- if raw_param_type is iterable and raw_param_type is not string -%}
|
||||||
|
{%- set param_type = raw_param_type | join(" | ") -%}
|
||||||
|
{%- else -%}
|
||||||
|
{%- set param_type = raw_param_type -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{ convert_data_type(param_type) }}
|
||||||
|
{%- elif "oneOf" in param -%}
|
||||||
|
{%- set one_of_types = param["oneOf"]|selectattr("type", "defined")|list -%}
|
||||||
|
{%- set one_of_types = one_of_types|map(attribute="type")|unique|list -%}
|
||||||
|
{{ convert_data_type(one_of_types | join(" | ")) }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro get_format_param(param) -%}
|
||||||
|
{%- if "format" in param -%}
|
||||||
|
{{ param["format"] }}
|
||||||
|
{%- elif "oneOf" in param -%}
|
||||||
|
{%- set formats = [] -%}
|
||||||
|
{%- for item in param["oneOf"] -%}
|
||||||
|
{%- if "format" in item -%}
|
||||||
|
{%- if item["format"] == param["oneOf"][-1]["format"] -%}
|
||||||
|
{{ item["format"] }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ item["format"] + " or "}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "<|NONE|>" }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro get_param_info(param) -%}
|
||||||
|
{%- set param_type = param.get("type", "any") -%}
|
||||||
|
{%- set format_param = get_format_param(param) -%}
|
||||||
|
|
||||||
|
{%- if "description" in param or "default" in param or format_param != "<|NONE|>" or param["maximum"] or param["minimum"] or param["maxLength"] or param["minLength"] -%}
|
||||||
|
{{ "//" }}
|
||||||
|
{%- if "description" in param -%}
|
||||||
|
{%- set desc = param["description"] -%}
|
||||||
|
{%- if not desc.endswith(".") -%}
|
||||||
|
{%- set desc = desc + "." -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{ " " + desc }}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- if "default" in param -%}
|
||||||
|
{%- set default_value = param["default"] -%}
|
||||||
|
{%- if param_type == "string" -%}
|
||||||
|
{%- set default_value = '"' ~ default_value ~ '"' -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{ " Default=" ~ default_value ~ "." }}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- set format_param = get_format_param(param) -%}
|
||||||
|
{%- if format_param != "<|NONE|>" -%}
|
||||||
|
{{ " Format=" ~ format_param }}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- for field, field_name in [("maximum", "Maximum"), ("minimum", "Minimum"), ("maxLength", "Maximum length"), ("minLength", "Minimum length")] -%}
|
||||||
|
{%- if field in param -%}
|
||||||
|
{{ " " + field_name ~ "=" ~ param[field] }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "<|NONE|>"}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro get_enum_option_str(enum_options) -%}
|
||||||
|
{%- for v in enum_options -%}
|
||||||
|
{%- if v is string -%}
|
||||||
|
{{ '"' + v + '"' }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ v }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if enum_options|length > 0 and v != enum_options[-1] -%}
|
||||||
|
{{ " | " }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro get_array_typescript(param_name, param_dic, depth) -%}
|
||||||
|
{%- set offset = '' -%}
|
||||||
|
{%- if depth >= 1 -%}
|
||||||
|
{%- set offset = " " * depth -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- set items_info = param_dic.get('items', {}) -%}
|
||||||
|
|
||||||
|
{%- if items_info|length == 0 -%}
|
||||||
|
{%- if param_name -%}
|
||||||
|
{{ "\n" + offset + param_name + ": []" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "\n" + offset + "[]" }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- else -%}
|
||||||
|
{%- set array_type = get_param_type(items_info) -%}
|
||||||
|
{%- if array_type == 'object' -%}
|
||||||
|
{%- if param_name -%}
|
||||||
|
{{ "\n" + offset + param_name + ": {" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "\n" + offset + "{" }}
|
||||||
|
{%- endif -%}
|
||||||
|
{{ get_parameter_typescript(items_info.get('properties', {}), items_info.get('required', []), depth + 1) -}}
|
||||||
|
{{- "\n" + offset + "}[]" }}
|
||||||
|
{%- elif array_type == 'array' -%}
|
||||||
|
{%- set item_info = get_array_typescript(None, items_info, depth + 1) -%}
|
||||||
|
{%- if not param_name -%}
|
||||||
|
{{ "\n" + item_info + "[]" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "\n" + offset + param_name + ": " + item_info|trim + "[]" }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- else -%}
|
||||||
|
{%- if 'enum' in items_info -%}
|
||||||
|
{%- set item_type = get_enum_option_str(items_info['enum']) -%}
|
||||||
|
{%- if param_name is none -%}
|
||||||
|
{{ "(" + item_type + ")[]"}}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "\n" + offset + param_name + ": (" + item_type + ")[]" }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- else -%}
|
||||||
|
{%- if param_name is none -%}
|
||||||
|
{{ "\n" + array_type + "[]" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "\n" + offset + param_name + ": " + array_type + "[]," }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro get_parameter_typescript(properties, required_params, depth=0) -%}
|
||||||
|
{%- set res = "" -%}
|
||||||
|
{%- for param_name, param in properties.items() -%}
|
||||||
|
{%- if param is mapping -%}
|
||||||
|
{%- set comment_info = get_param_info(param) -%}
|
||||||
|
{# Param Examples #}
|
||||||
|
{%- set examples_info = [] -%}
|
||||||
|
{%- if "examples" in param -%}
|
||||||
|
{%- set examples_info = ["Example " + param_name + ":"] -%}
|
||||||
|
{%- set examples_info = examples_info + param["examples"] -%}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{# Param Name declaration #}
|
||||||
|
{%- set param_declaration = param_name -%}
|
||||||
|
{%- if required_params is iterable and param_name not in required_params -%}
|
||||||
|
{%- set param_declaration = param_declaration + "?" -%}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- set param_type = get_param_type(param) -%}
|
||||||
|
|
||||||
|
{# Handle indentation based on depth #}
|
||||||
|
{%- set offset = "" -%}
|
||||||
|
{%- if depth >= 1 -%}
|
||||||
|
{%- set offset = " " * depth -%}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- if param_type == "object" -%}
|
||||||
|
{%- if comment_info != "<|NONE|>" -%}
|
||||||
|
{{ "\n" + offset + comment_info }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if examples_info|length > 0 -%}
|
||||||
|
{%- for example in examples_info -%}
|
||||||
|
{{ "\n" + offset + "// " + example|string|replace("'", '"') }}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- set param_declaration = param_declaration + ": {" -%}
|
||||||
|
{{ "\n" + offset + param_declaration -}}
|
||||||
|
{{- get_parameter_typescript(param.get("properties", {}), param.get("required", []), depth + 1) -}}
|
||||||
|
{{- "\n" + offset + "}," }}
|
||||||
|
{%- elif param_type == "array" -%}
|
||||||
|
{%- set item_info = param.get("items", {}) -%}
|
||||||
|
{%- if "type" not in item_info -%}
|
||||||
|
{%- set param_declaration = param_declaration + ": []," -%}
|
||||||
|
{{ append_new_param_info(param_declaration, comment_info, examples_info, depth) }}
|
||||||
|
{%- else -%}
|
||||||
|
{%- if comment_info != "<|NONE|>" -%}
|
||||||
|
{{ "\n" + offset + comment_info }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if examples_info|length > 0 -%}
|
||||||
|
{%- for example in examples_info -%}
|
||||||
|
{{ "\n" + offset + "// " + example|string|replace("'", '"') }}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- set array_declaration = get_array_typescript(param_declaration, param, depth) -%}
|
||||||
|
{%- if not array_declaration.endswith(",") -%}
|
||||||
|
{%- set array_declaration = array_declaration + "," -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{ array_declaration}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- else -%}
|
||||||
|
{%- if "enum" in param -%}
|
||||||
|
{%- set param_type = get_enum_option_str(param["enum"]) -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if "nullable" in param and param["nullable"] -%}
|
||||||
|
{%- set param_type = param_type + " | null" -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- set param_declaration = param_declaration + ": " + param_type + "," -%}
|
||||||
|
{{ append_new_param_info(param_declaration, comment_info, examples_info, depth) }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- endmacro -%}
|
||||||
|
|
||||||
|
{%- macro generate_schema_from_functions(functions, namespace='functions') -%}
|
||||||
|
{{ "// Supported function definitions that should be called when necessary.\n" -}}
|
||||||
|
{{- "namespace " + namespace + " {\n\n" -}}
|
||||||
|
|
||||||
|
{%- for function in functions -%}
|
||||||
|
{%- if function.get("function") -%}
|
||||||
|
{%- set function = function.get("function") -%}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- set function_name = function.get("name") -%}
|
||||||
|
{%- if function_name -%}
|
||||||
|
{%- set description = function.get('description', '') -%}
|
||||||
|
{%- set parameters = function.get('parameters', {}) -%}
|
||||||
|
{{- "// " + description + "\n" -}}
|
||||||
|
{{- "type " + function_name -}}
|
||||||
|
{%- if parameters and parameters.get("properties") -%}
|
||||||
|
{{- " = (_: {" -}}
|
||||||
|
{%- set required_params = parameters.get("required", []) -%}
|
||||||
|
{{ get_parameter_typescript(parameters.get("properties"), required_params, 0) -}}
|
||||||
|
{{- "\n}) => any;\n\n" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ " = () => any;\n\n" }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{{ "} // namespace " + namespace }}
|
||||||
|
{%- endmacro -%}
|
||||||
|
{%- if not tools is defined -%}
|
||||||
|
{%- set tools = none -%}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{%- set has_code_interpreter = tools | selectattr("type", "equalto", "code_interpreter") | list | length > 0 -%}
|
||||||
|
{%- if has_code_interpreter -%}
|
||||||
|
{%- set tools = tools | rejectattr("type", "equalto", "code_interpreter") | list -%}
|
||||||
|
{%- endif -%}
|
||||||
|
|
||||||
|
{#- System message + builtin tools #}
|
||||||
|
{{- bos_token + "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
||||||
|
{%- if has_code_interpreter %}
|
||||||
|
{{- "Environment: ipython\n\n" }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "\n"}}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if tools %}
|
||||||
|
{{- "\nYou have access to the following functions:\n\n" }}
|
||||||
|
{%- for t in tools %}
|
||||||
|
{%- if "type" in t -%}
|
||||||
|
{{ "Use the function '" + t["function"]["name"] + "' to '" + t["function"]["description"] + "'\n" + t["function"] | tojson() }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ "Use the function '" + t["name"] + "' to '" + t["description"] + "'\n" + t | tojson }}
|
||||||
|
{%- endif -%}
|
||||||
|
{{- "\n\n" }}
|
||||||
|
{%- endfor %}
|
||||||
|
{{- '\nThink very carefully before calling functions.\nIf a you choose to call a function ONLY reply in the following format:\n<{start_tag}={function_name}>{parameters}{end_tag}\nwhere\n\nstart_tag => `<function`\nparameters => a JSON dict with the function argument name as key and function argument value as value.\nend_tag => `</function>`\n\nHere is an example,\n<function=example_function_name>{"example_name": "example_value"}</function>\n\nReminder:\n- If looking for real time information use relevant functions before falling back to brave_search\n- Function calls MUST follow the specified format, start with <function= and end with </function>\n- Required parameters MUST be specified\n- Only call one function at a time\n- Put the entire function call reply on one line\n\n' -}}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "<|eot_id|>" -}}
|
||||||
|
|
||||||
|
{%- for message in messages -%}
|
||||||
|
{%- if message['role'] == 'user' or message['role'] == 'system' -%}
|
||||||
|
{{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }}
|
||||||
|
{%- elif message['role'] == 'tool' -%}
|
||||||
|
{{ '<|start_header_id|>ipython<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }}
|
||||||
|
{%- else -%}
|
||||||
|
{%- if (message['content'] and message['content']|length > 0) or ('tool_calls' in message and message['tool_calls'] and message['tool_calls']|length > 0) -%}
|
||||||
|
{{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if message['content'] and message['content']|length > 0 -%}
|
||||||
|
{{ message['content'] }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls']|length > 0 -%}
|
||||||
|
{%- for tool_call in message['tool_calls'] -%}
|
||||||
|
{%- if tool_call["function"]["name"] == "python" -%}
|
||||||
|
{{ '<|python_tag|>' + tool_call['function']['arguments'] }}
|
||||||
|
{%- else -%}
|
||||||
|
{{ '<function=' + tool_call['function']['name'] + '>' + tool_call['function']['arguments'] + '</function>' }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{{ '<|eom_id|>' }}
|
||||||
|
{%- elif message['content'] and message['content']|length > 0 -%}
|
||||||
|
{{ '<|eot_id|>' }}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- if add_generation_prompt -%}
|
||||||
|
{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
||||||
|
{%- endif -%}
|
||||||
30
config.json
Normal file
30
config.json
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"LlamaForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"eos_token_id": 128009,
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"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": 32,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"pad_token_id": 128001,
|
||||||
|
"pretraining_tp": 1,
|
||||||
|
"rms_norm_eps": 1e-05,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 8000000.0,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "float32",
|
||||||
|
"transformers_version": "4.55.4",
|
||||||
|
"use_cache": true,
|
||||||
|
"vocab_size": 128259
|
||||||
|
}
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
7
generation_config.json
Normal file
7
generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"eos_token_id": 128009,
|
||||||
|
"pad_token_id": 128001,
|
||||||
|
"transformers_version": "4.55.4"
|
||||||
|
}
|
||||||
3
model-00001-of-00007.safetensors
Normal file
3
model-00001-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:dff29c4387e6569172b6e7622c4c7466d0f2194eac3c4c3ea59f58599702390a
|
||||||
|
size 4886515320
|
||||||
3
model-00002-of-00007.safetensors
Normal file
3
model-00002-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:afec2cc4767cf8892250700423101d9c528091108ab018f2c2238774e52cb1f7
|
||||||
|
size 4832007448
|
||||||
3
model-00003-of-00007.safetensors
Normal file
3
model-00003-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:b88b8965b2d34d151d51046494b727fff8987951d674d6bfd6860812d5a10787
|
||||||
|
size 4999813112
|
||||||
3
model-00004-of-00007.safetensors
Normal file
3
model-00004-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3903eec324db860ce2235510d37fab495b334ceae27b8f2e4204aa6b2d000ac6
|
||||||
|
size 4999813128
|
||||||
3
model-00005-of-00007.safetensors
Normal file
3
model-00005-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:10aba4c5c7050f84197d86c9daace1f26df0cc77b5d3d60785f6b925498f1da8
|
||||||
|
size 4832007496
|
||||||
3
model-00006-of-00007.safetensors
Normal file
3
model-00006-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:1c62a661d6f240f22091dd6feef1960853935a75b8d811caa4b472cb3bec2f34
|
||||||
|
size 4999813120
|
||||||
3
model-00007-of-00007.safetensors
Normal file
3
model-00007-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:7b905fccc2aca48c48f2977f44d21ec5386dbbb155f59f2158aa067a366e2805
|
||||||
|
size 2571207336
|
||||||
299
model.safetensors.index.json
Normal file
299
model.safetensors.index.json
Normal file
@@ -0,0 +1,299 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_parameters": 8030285824,
|
||||||
|
"total_size": 32121143296
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"lm_head.weight": "model-00007-of-00007.safetensors",
|
||||||
|
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
|
||||||
|
"model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
|
||||||
|
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
|
||||||
|
"model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
|
||||||
|
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.norm.weight": "model-00007-of-00007.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"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
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:31d17e500c82ff116fc14d4dd0106a08e49bd3512d8a81473047121ef8ea09f9
|
||||||
|
size 17210524
|
||||||
2087
tokenizer_config.json
Normal file
2087
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user