Upload folder using huggingface_hub
Browse files- README.md +40 -8
- chat_template.jinja +85 -0
- config.json +47 -6
- generation_config.json +1 -1
- model.safetensors +1 -1
- quantize_config.json +8 -5
- tokenizer_config.json +0 -1
README.md
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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/Qwen3-4B/blob/main/LICENSE
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen3-4B
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---
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# Qwen3-4B
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<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
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<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
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If you find our work helpful, feel free to give us a cite.
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```
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@misc{
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}
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```
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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/Qwen3-4B/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- Qwen2
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- GPTQ
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- Int4
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- 量化修复
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- vLLM
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base_model:
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- Qwen/Qwen3-4B
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base_model_relation: quantized
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---
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# Qwen3-4B-GPTQ-Int4
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Base model: [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B)
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<i>This model is quantized to 4-bit with a group size of 128.</i>
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<br>
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<i>Compared to earlier quantized versions, the new quantized model demonstrates better tokens/s efficiency. This improvement comes from setting desc_act=False in the quantization configuration.</i>
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```
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vllm serve JunHowie/Qwen3-4B-GPTQ-Int4
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```
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### 【Dependencies】
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```
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vllm>=0.9.2
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```
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### 【Model Download】
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```python
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from huggingface_hub import snapshot_download
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snapshot_download('JunHowie/Qwen3-4B-GPTQ-Int4', cache_dir="your_local_path")
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```
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### 【Overview】
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# Qwen3-4B
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<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
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<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
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If you find our work helpful, feel free to give us a cite.
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```
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@misc{qwen3technicalreport,
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title={Qwen3 Technical Report},
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author={Qwen Team},
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year={2025},
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eprint={2505.09388},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2505.09388},
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}
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```
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"quantization_config": {
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"bits": 4,
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"checkpoint_format": "gptq",
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"desc_act":
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"group_size": 128,
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"lm_head": false,
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"meta": {
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"damp_auto_increment": 0.
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"damp_percent": 0.
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"mse": 0.0,
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"quantizer": [
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"gptqmodel:
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],
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"static_groups": false,
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"true_sequential": true,
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-
"uri": "https://github.com/modelcloud/gptqmodel"
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},
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"pack_dtype": "int32",
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"quant_method": "gptq",
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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-
"transformers_version": "4.
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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| 52 |
"max_position_embeddings": 40960,
|
| 53 |
"max_window_layers": 36,
|
| 54 |
"model_type": "qwen3",
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|
| 58 |
"quantization_config": {
|
| 59 |
"bits": 4,
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| 60 |
"checkpoint_format": "gptq",
|
| 61 |
+
"desc_act": false,
|
| 62 |
"group_size": 128,
|
| 63 |
+
"hyb_act": false,
|
| 64 |
"lm_head": false,
|
| 65 |
"meta": {
|
| 66 |
+
"damp_auto_increment": 0.01,
|
| 67 |
+
"damp_percent": 0.05,
|
| 68 |
"mse": 0.0,
|
| 69 |
"quantizer": [
|
| 70 |
+
"gptqmodel:4.0.0"
|
| 71 |
],
|
| 72 |
"static_groups": false,
|
| 73 |
"true_sequential": true,
|
| 74 |
+
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 75 |
+
"v2": false,
|
| 76 |
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"v2_alpha": 0.25
|
| 77 |
},
|
| 78 |
"pack_dtype": "int32",
|
| 79 |
"quant_method": "gptq",
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|
| 85 |
"sliding_window": null,
|
| 86 |
"tie_word_embeddings": true,
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| 87 |
"torch_dtype": "bfloat16",
|
| 88 |
+
"transformers_version": "4.55.4",
|
| 89 |
"use_cache": true,
|
| 90 |
"use_sliding_window": false,
|
| 91 |
"vocab_size": 151936
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generation_config.json
CHANGED
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@@ -9,5 +9,5 @@
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|
| 9 |
"temperature": 0.6,
|
| 10 |
"top_k": 20,
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"top_p": 0.95,
|
| 12 |
-
"transformers_version": "4.
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| 13 |
}
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| 9 |
"temperature": 0.6,
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| 10 |
"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "4.55.4"
|
| 13 |
}
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
|
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-
oid sha256:
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size 2669888648
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|
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| 1 |
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:e890c8ea503e1ee7ca6573d4f063fa63775e31f83608d07be01431d2a059f7a0
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size 2669888648
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quantize_config.json
CHANGED
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@@ -1,7 +1,8 @@
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|
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{
|
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"bits": 4,
|
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"group_size": 128,
|
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-
"desc_act":
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"sym": true,
|
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"lm_head": false,
|
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"quant_method": "gptq",
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@@ -9,13 +10,15 @@
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"pack_dtype": "int32",
|
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"meta": {
|
| 11 |
"quantizer": [
|
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-
"gptqmodel:
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],
|
| 14 |
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 15 |
-
"damp_percent": 0.
|
| 16 |
-
"damp_auto_increment": 0.
|
| 17 |
"static_groups": false,
|
| 18 |
"true_sequential": true,
|
| 19 |
-
"mse": 0.0
|
|
|
|
|
|
|
| 20 |
}
|
| 21 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"bits": 4,
|
| 3 |
"group_size": 128,
|
| 4 |
+
"desc_act": false,
|
| 5 |
+
"hyb_act": false,
|
| 6 |
"sym": true,
|
| 7 |
"lm_head": false,
|
| 8 |
"quant_method": "gptq",
|
|
|
|
| 10 |
"pack_dtype": "int32",
|
| 11 |
"meta": {
|
| 12 |
"quantizer": [
|
| 13 |
+
"gptqmodel:4.0.0"
|
| 14 |
],
|
| 15 |
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 16 |
+
"damp_percent": 0.05,
|
| 17 |
+
"damp_auto_increment": 0.01,
|
| 18 |
"static_groups": false,
|
| 19 |
"true_sequential": true,
|
| 20 |
+
"mse": 0.0,
|
| 21 |
+
"v2": false,
|
| 22 |
+
"v2_alpha": 0.25
|
| 23 |
}
|
| 24 |
}
|
tokenizer_config.json
CHANGED
|
@@ -227,7 +227,6 @@
|
|
| 227 |
"<|video_pad|>"
|
| 228 |
],
|
| 229 |
"bos_token": null,
|
| 230 |
-
"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 %}",
|
| 231 |
"clean_up_tokenization_spaces": false,
|
| 232 |
"eos_token": "<|im_end|>",
|
| 233 |
"errors": "replace",
|
|
|
|
| 227 |
"<|video_pad|>"
|
| 228 |
],
|
| 229 |
"bos_token": null,
|
|
|
|
| 230 |
"clean_up_tokenization_spaces": false,
|
| 231 |
"eos_token": "<|im_end|>",
|
| 232 |
"errors": "replace",
|