47 lines
1.5 KiB
Markdown
47 lines
1.5 KiB
Markdown
---
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license: apache-2.0
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tags:
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- Reinforcement Learning
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- Visual-langauge Reasoning
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---
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# Model Card for WeThink-Qwen2.5VL-7B
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Repository: https://github.com/yangjie-cv/WeThink
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Paper: https://arxiv.org/abs/2506.07905
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## 🏆 Performance Highlights
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**WeThink-Qwen2.5VL-7B** achieves:
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- 🥇 **1st place** on [OpenCompass Multimodal Reasoning Leaderboard](https://rank.opencompass.org.cn/leaderboard-multimodal-reasoning/?m=REALTIME)
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- 🏅 **5th place** on [OpenCompass Multi-modal Academic Leaderboard](https://rank.opencompass.org.cn/leaderboard-multimodal/?m=REALTIME)
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*(As of May 30th, 2025)*
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## 🚀 Quick Start
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### Inference
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```bash
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git clone https://github.com/yangjie-cv/WeThink
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cd WeThink
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python inference.py
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```
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💡 Note: System prompt is required during inference.
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### 📊 Evaluation
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We have integrated WeThink-Qwen2.5VL-7B into the [VLMEvalKit](https://github.com/open-compass/VLMEvalKit). Please follow its [Quickstart guide](https://github.com/open-compass/VLMEvalKit/blob/main/docs/en/Quickstart.md) to evaluate WeThink-Qwen2.5VL-7B on various benchmarks.
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## Citation
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```
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@misc{yang2025wethink,
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title={WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning},
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author={Jie Yang and Feipeng Ma and Zitian Wang and Dacheng Yin and Kang Rong and Fengyun Rao and Ruimao Zhang},
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year={2025},
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eprint={2506.07905},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2506.07905},
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}
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``` |