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Model: JunHowie/Qwen3-14B-Instruct-2512-SFT-AWQ Source: Original Platform
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---
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen3-8B
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---
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# Qwen3-14B-Instruct-2512-SFT
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**NOTE：This model is the Instruct-aligned variant, and it will not generate ``<think></think>`` blocks in its outputs.
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Additionally, there is no need to specify enable_thinking=False anymore.**
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Among them, the 8B and 14B SFT and DFT variants are obtained via full-parameter fine-tuning, while the 32B models are trained using LoRA due to hardware resource constraints.<br>
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The dataset used is the Chinese Distillation Dataset based on Qwen3-235B-2507.available at:[**Chinese-Qwen3-235B-2507-Distill-data-110k**](https://www.modelscope.cn/datasets/swift/Chinese-Qwen3-235B-2507-Distill-data-110k)
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<br>
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For details and code regarding model training and quantization, please see[Training and Quantization Guide](https://www.modelscope.cn/learn/3000)
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<br>
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Here is the list of models released in this version:<br>
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<table border="1" cellpadding="6" cellspacing="0" style="border-collapse: collapse; font-family: sans-serif;">
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<thead>
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<tr style="background-color: #f0f0f0;">
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<th rowspan="2">Model</th>
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<th colspan="2">4-bit AWQ</th>
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<th rowspan="2">8-bit FP8</th>
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<th colspan="2">GPTQ</th>
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<th colspan="2">NVIDIA FP4</th>
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<th colspan="2">Weight-Activation</th>
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</tr>
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<tr style="background-color: #f8f8f8;">
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<th>AWQ</th>
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<th>AWQ-asym</th>
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<th>INT4</th>
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<th>INT8</th>
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<th>NVFP4</th>
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<th>NVFP4-A16</th>
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<th>W4A16</th>
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<th>W8A8</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT">Qwen3-8B-Instruct-2512-DFT</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-AWQ">AWQ</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-awq-asym">awq-asym</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-FP8">FP8</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-GPTQ-Int4">GPTQ(int4)</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-GPTQ-Int8">GPTQ(int8)</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-NVFP4">NVFP4</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-NVFP4A16">NVFP4A16</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-W4A16">W4A16</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-DFT-W8A8">W8A8</a></td>
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</tr>
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<tr>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT">Qwen3-8B-Instruct-2512-SFT</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-AWQ">AWQ</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-awq-asym">awq-asym</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-FP8">FP8</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-GPTQ-Int4">GPTQ(int4)</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-GPTQ-Int8">GPTQ(int8)</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-NVFP4">NVFP4</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-NVFP4A16">NVFP4A16</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-W4A16">W4A16</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-8B-Instruct-2512-SFT-W8A8">W8A8</a></td>
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</tr>
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<tr>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT">Qwen3-14B-Instruct-2512-DFT</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-AWQ">AWQ</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-awq-asym">awq-asym</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-FP8">FP8</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-GPTQ-Int4">GPTQ(int4)</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-GPTQ-Int8">GPTQ(int8)</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-NVFP4">NVFP4</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-NVFP4A16">NVFP4A16</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-W4A16">W4A16</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-DFT-W8A8">W8A8</a></td>
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</tr>
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<tr>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT">Qwen3-14B-Instruct-2512-SFT</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-AWQ">AWQ</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-awq-asym">awq-asym</a></td>
|
||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-FP8">FP8</a></td>
|
||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-GPTQ-Int4">GPTQ(int4)</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-GPTQ-Int8">GPTQ(int8)</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-NVFP4">NVFP4</a></td>
|
||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-NVFP4A16">NVFP4A16</a></td>
|
||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-W4A16">W4A16</a></td>
|
||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-14B-Instruct-2512-SFT-W8A8">W8A8</a></td>
|
||||
</tr>
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<tr>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT">Qwen3-32B-Instruct-2512-DFT</a></td>
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<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-AWQ">AWQ</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-awq-asym">awq-asym</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-FP8">FP8</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-GPTQ-Int4">GPTQ(int4)</a></td>
|
||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-GPTQ-Int8">GPTQ(int8)</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-NVFP4">NVFP4</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-NVFP4A16">NVFP4A16</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-W4A16">W4A16</a></td>
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||||
<td><a href="https://www.modelscope.cn/models/JunHowie/Qwen3-32B-Instruct-2512-DFT-W8A8">W8A8</a></td>
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</tr>
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</tbody>
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</table>
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### 【Dependencies】
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```
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vllm>=0.10.2
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transformers>=4.56.1
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```
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28
added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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124
args.json
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{
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"use_ray": false,
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"ray_exp_name": null,
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"device_groups": null,
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"model": "/root/data/model/Qwen3-14B-Instruct-2512-SFT",
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"model_type": "qwen3_nothinking",
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"model_revision": null,
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"task_type": "causal_lm",
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"torch_dtype": "float16",
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"attn_impl": "flash_attn",
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"new_special_tokens": [],
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"num_labels": null,
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"problem_type": null,
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"rope_scaling": null,
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"device_map": "auto",
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"max_memory": {},
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"max_model_len": null,
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"local_repo_path": null,
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"init_strategy": null,
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"template": "qwen3_nothinking",
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"system": null,
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"max_length": 12000,
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"truncation_strategy": "delete",
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"max_pixels": null,
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"agent_template": null,
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"norm_bbox": null,
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"use_chat_template": true,
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"padding_free": false,
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"padding_side": "right",
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"loss_scale": "default",
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"sequence_parallel_size": 1,
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||||
"response_prefix": null,
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"template_backend": "swift",
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"dataset": [
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"/root/data/datasets/qwen3_235b_2507_distill_110k.jsonl"
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],
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"val_dataset": [],
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"split_dataset_ratio": 0.0,
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"data_seed": 42,
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"dataset_num_proc": 1,
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"load_from_cache_file": false,
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"dataset_shuffle": true,
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"val_dataset_shuffle": false,
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"streaming": false,
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"interleave_prob": null,
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"stopping_strategy": "first_exhausted",
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"shuffle_buffer_size": 1000,
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"download_mode": "reuse_dataset_if_exists",
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"columns": {},
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"strict": false,
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"remove_unused_columns": true,
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"model_name": null,
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"model_author": null,
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"custom_dataset_info": [],
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"quant_method": "awq",
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"quant_bits": 4,
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"hqq_axis": null,
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": true,
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"bnb_4bit_quant_storage": null,
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"max_new_tokens": null,
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"temperature": null,
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"top_k": null,
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"top_p": null,
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"repetition_penalty": null,
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"num_beams": 1,
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"stream": false,
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"stop_words": [],
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"logprobs": false,
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"top_logprobs": null,
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"ckpt_dir": "/root/data/model/Qwen3-14B-Instruct-2512-SFT",
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"lora_modules": [],
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"tuner_backend": "peft",
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"train_type": "full",
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"adapters": [],
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"external_plugins": [],
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"seed": 42,
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"model_kwargs": {},
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"load_args": true,
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"load_data_args": false,
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"packing": false,
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"packing_length": null,
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"lazy_tokenize": false,
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"cached_dataset": [],
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"custom_register_path": [],
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"use_hf": false,
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"hub_token": null,
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"ddp_timeout": 18000000,
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"ddp_backend": null,
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"ignore_args_error": false,
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"use_swift_lora": false,
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"merge_lora": false,
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"safe_serialization": true,
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"max_shard_size": "5GB",
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"output_dir": "/root/data/model/Qwen3-14B-Instruct-2512-SFT-AWQ",
|
||||
"quant_n_samples": 256,
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||||
"quant_batch_size": 1,
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"group_size": 128,
|
||||
"to_cached_dataset": false,
|
||||
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|
||||
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|
||||
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|
||||
"mcore_model": null,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"global_world_size": 1,
|
||||
"local_world_size": 1,
|
||||
"model_suffix": "Qwen3-14B-Instruct-2512-SFT",
|
||||
"model_info": "ModelInfo(model_type='qwen3_nothinking', model_dir='/root/data/model/Qwen3-14B-Instruct-2512-SFT', torch_dtype=torch.float16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, config=None, task_type='causal_lm', num_labels=None)",
|
||||
"model_meta": "ModelMeta(model_type='qwen3_nothinking', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-30B-A3B-Instruct-2507', hf_model_id='Qwen/Qwen3-30B-A3B-Instruct-2507', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-30B-A3B-Instruct-2507-FP8', hf_model_id='Qwen/Qwen3-30B-A3B-Instruct-2507-FP8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-235B-A22B-Instruct-2507', hf_model_id='Qwen/Qwen3-235B-A22B-Instruct-2507', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-235B-A22B-Instruct-2507-FP8', hf_model_id='Qwen/Qwen3-235B-A22B-Instruct-2507-FP8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='swift/Qwen3-235B-A22B-Instruct-2507-AWQ', hf_model_id=None, model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-4B-Instruct-2507', hf_model_id='Qwen/Qwen3-4B-Instruct-2507', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-4B-Instruct-2507-FP8', hf_model_id='Qwen/Qwen3-4B-Instruct-2507-FP8', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen3_nothinking', get_function=<function get_model_tokenizer_with_flash_attn at 0x7fbf75af1800>, model_arch=None, architectures=['Qwen3MoeForCausalLM', 'Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.51'], tags=[])",
|
||||
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|
||||
"hub": "<class 'swift.hub.hub.MSHub'>"
|
||||
}
|
||||
81
config.json
Normal file
81
config.json
Normal file
@@ -0,0 +1,81 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
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|
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
"vocab_size": 151936
|
||||
}
|
||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
BIN
merges.txt
(Stored with Git LFS)
Normal file
BIN
merges.txt
(Stored with Git LFS)
Normal file
Binary file not shown.
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
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||||
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||||
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|
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Normal file
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Normal file
@@ -0,0 +1,3 @@
|
||||
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|
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1010
model.safetensors.index.json
Normal file
1010
model.safetensors.index.json
Normal file
File diff suppressed because it is too large
Load Diff
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user