Model Card for WeThink-Qwen2.5VL-7B
Repository: https://github.com/yangjie-cv/WeThink
Paper: https://arxiv.org/abs/2506.07905
π Performance Highlights
WeThink-Qwen2.5VL-7B achieves:
- π₯ 1st place on OpenCompass Multimodal Reasoning Leaderboard
- π
5th place on OpenCompass Multi-modal Academic Leaderboard
(As of May 30th, 2025)
π Quick Start
Inference
git clone https://github.com/yangjie-cv/WeThink
cd WeThink
python inference.py
π‘ ββNoteββ: System prompt is required during inference.
π Evaluation
We have integrated WeThink-Qwen2.5VL-7B into the VLMEvalKit. Please follow its Quickstart guide 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},
}
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