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Model: yangjie-cv/WeThink-Qwen2.5VL-7B
Source: Original Platform

README.md

@@ -0,0 +1,47 @@
+---
+license: apache-2.0
+tags:
+- Reinforcement Learning
+- Visual-langauge Reasoning
+---
+# Model Card for WeThink-Qwen2.5VL-7B
+
+Repository: https://github.com/yangjie-cv/WeThink
+
+Paper: https://arxiv.org/abs/2506.07905
+
+
+
+## 🏆 Performance Highlights
+**WeThink-Qwen2.5VL-7B** achieves:
+- 🥇 **1st place** on [OpenCompass Multimodal Reasoning Leaderboard](https://rank.opencompass.org.cn/leaderboard-multimodal-reasoning/?m=REALTIME)
+- 🏅 **5th place** on [OpenCompass Multi-modal Academic Leaderboard](https://rank.opencompass.org.cn/leaderboard-multimodal/?m=REALTIME)  
+*(As of May 30th, 2025)*
+
+
+## 🚀 Quick Start
+### Inference
+
+```bash
+git clone https://github.com/yangjie-cv/WeThink
+cd WeThink
+python inference.py
+```
+💡 ​​Note​​: System prompt is required during inference. 
+
+### 📊 Evaluation
+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.
+
+
+## Citation
+```
+@misc{yang2025wethink,
+      title={WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning}, 
+      author={Jie Yang and Feipeng Ma and Zitian Wang and Dacheng Yin and Kang Rong and Fengyun Rao and Ruimao Zhang},
+      year={2025},
+      eprint={2506.07905},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2506.07905}, 
+}
+```