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Model: hongxingli/P2R-4B Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- Qwen/Qwen3-VL-4B-Instruct
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license: apache-2.0
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pipeline_tag: image-text-to-text
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library_name: transformers
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---
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<a href="https://arxiv.org/pdf/2607.01191v1" target="_blank">
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<img alt="arXiv" src="https://img.shields.io/badge/arXiv-Perceive--to--Reason-red?logo=arxiv" height="20" />
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</a>
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<a href="https://github.com/ZJU-REAL/Perceive-to-Reason" target="_blank">
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<img alt="Code" src="https://img.shields.io/badge/Code-Perceive--to--Reason-white?logo=github" height="20" />
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</a>
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<a href="https://huggingface.co/datasets/hongxingli/P2R-10k" target="_blank">
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<img alt="Data" src="https://img.shields.io/badge/%F0%9F%A4%97%20_Data-P2R--10k-ffc107?color=ffc107&logoColor=white" height="20" />
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</a>
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<a href="https://huggingface.co/spaces/hongxingli/perceive-to-reason" target="_blank">
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<img alt="Demo" src="https://img.shields.io/badge/%F0%9F%A4%97%20_Demo-P2R-ffc107?color=ffc107&logoColor=white" height="20" />
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</a>
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# P2R-4B
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This repository contains the P2R-4B, introduced in [Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning](https://arxiv.org/pdf/2607.01191v1).
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## Model Description
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P2R-4B is a fine-grained visual reasoning model built upon [Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct). It performs inference under the P2R framework, a two-stage visual reasoning framework that decouples perception from reasoning. Training is powered by PRA-GRPO, a role-aware alternating RL strategy.
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## Model Performance
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| Model | V-Star | HR-Bench-4K | HR-Bench-8K | MME-RealWorld-Lite |
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|-------|--------|-------------|-------------|--------------------|
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| Qwen3-VL-Instruct-4B | 81.7 | 73.8 | 67.0 | 47.7 |
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| **P2R-4B** | **93.2** | **81.9** | **80.5** | **54.8** |
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| *Δ* | *+11.5* | *+8.1* | *+13.5* | *+7.1* |
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## Usage
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```python
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from transformers import AutoProcessor, Qwen3VLForConditionalGeneration
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model = Qwen3VLForConditionalGeneration.from_pretrained("hongxingli/P2R-4B")
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processor = AutoProcessor.from_pretrained("hongxingli/P2R-4B")
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```
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For the full two-stage P2R inference pipeline, please refer to our [code repository](https://github.com/ZJU-REAL/Perceive-to-Reason).
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## Citation
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```bibtex
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@misc{li2026perceivetoreasondecouplingperceptionreasoning,
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title={Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning},
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author={Hongxing Li and Xiufeng Huang and Dingming Li and Wenjing Jiang and Zixuan Wang and Haolei Xu and Hanrong Zhang and Haiwen Hong and Longtao Huang and Hui Xue and Weiming Lu and Jun Xiao and Yueting Zhuang and Yongliang Shen},
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year={2026},
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eprint={2607.01191},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2607.01191},
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}
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```
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added_tokens.json
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{
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"<|box_end|>": 151649,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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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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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '\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' }}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- for message in messages %}
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{%- if message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content in message.content %}
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{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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<|vision_start|><|image_pad|><|vision_end|>
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{%- elif content.type == 'video' or 'video' in content %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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<|vision_start|><|video_pad|><|vision_end|>
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{%- elif 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content_item in message.content %}
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{%- if 'text' in content_item %}
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{{- content_item.text }}
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{%- endif %}
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{%- endfor %}
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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 message.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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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content in message.content %}
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{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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<|vision_start|><|image_pad|><|vision_end|>
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{%- elif content.type == 'video' or 'video' in content %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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<|vision_start|><|video_pad|><|vision_end|>
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{%- elif 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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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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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3VLForConditionalGeneration"
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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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"max_position_embeddings": 262144,
|
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"model_type": "qwen3_vl_text",
|
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"num_attention_heads": 32,
|
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"num_hidden_layers": 36,
|
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"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
|
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"rope_scaling": {
|
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"mrope_interleaved": true,
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"mrope_section": [
|
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24,
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20,
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20
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|
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"rope_type": "default"
|
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|
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"rope_theta": 5000000,
|
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"tie_word_embeddings": true,
|
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"use_cache": true,
|
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"vocab_size": 151936
|
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},
|
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"tie_word_embeddings": true,
|
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"transformers_version": "4.57.0",
|
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"video_token_id": 151656,
|
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"vision_config": {
|
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"deepstack_visual_indexes": [
|
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|
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11,
|
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17
|
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],
|
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"depth": 24,
|
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"dtype": "float32",
|
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"hidden_act": "gelu_pytorch_tanh",
|
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"hidden_size": 1024,
|
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"in_channels": 3,
|
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"initializer_range": 0.02,
|
||||
"intermediate_size": 4096,
|
||||
"model_type": "qwen3_vl",
|
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"num_heads": 16,
|
||||
"num_position_embeddings": 2304,
|
||||
"out_hidden_size": 2560,
|
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"patch_size": 16,
|
||||
"spatial_merge_size": 2,
|
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"temporal_patch_size": 2
|
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},
|
||||
"vision_end_token_id": 151653,
|
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"vision_start_token_id": 151652
|
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}
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generation_config.json
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generation_config.json
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{
|
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"bos_token_id": 151643,
|
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"do_sample": true,
|
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"eos_token_id": [
|
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151645,
|
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151643
|
||||
],
|
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"pad_token_id": 151643,
|
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"temperature": 0.7,
|
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"top_k": 20,
|
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"top_p": 0.8,
|
||||
"transformers_version": "4.57.0"
|
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}
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merges.txt
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merges.txt
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model-00001-of-00002.safetensors
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{
|
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|
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"model.language_model.layers.1.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
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|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 262144,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
41
video_preprocessor_config.json
Normal file
41
video_preprocessor_config.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"crop_size": null,
|
||||
"data_format": "channels_first",
|
||||
"default_to_square": true,
|
||||
"device": null,
|
||||
"do_center_crop": null,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"do_sample_frames": true,
|
||||
"fps": 2,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"input_data_format": null,
|
||||
"max_frames": 768,
|
||||
"merge_size": 2,
|
||||
"min_frames": 4,
|
||||
"num_frames": null,
|
||||
"pad_size": null,
|
||||
"patch_size": 16,
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"return_metadata": false,
|
||||
"size": {
|
||||
"longest_edge": 25165824,
|
||||
"shortest_edge": 4096
|
||||
},
|
||||
"temporal_patch_size": 2,
|
||||
"video_metadata": null,
|
||||
"video_processor_type": "Qwen3VLVideoProcessor"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user