PyVision-Image-7B-RL

PyVision-RL: Forging Open Agentic Vision Models via RL

This is PyVision-Image-7B-RL, a multimodal agentic vision model post-trained from Qwen2.5-VL-7B-Instruct using the PyVision-RL reinforcement learning framework.

• Project Page: https://agent-x.space/pyvision-rl/
• Repository: https://github.com/agents-x-project/PyVision-RL
• Paper: https://arxiv.org/abs/2602.20739

Description

Reinforcement learning for agentic multimodal models often suffers from "interaction collapse," where models learn to reduce tool usage and multi-turn reasoning. PyVision-RL is a framework designed to stabilize training and sustain interaction using an oversampling-filtering-ranking rollout strategy combined with an accumulative tool reward.

PyVision-Image-7B-RL is specifically optimized for image understanding tasks and sustained multi-turn tool interaction, demonstrating strong performance and efficiency for scalable multimodal agents.

Citation

If you find this work useful, please cite the following paper:

@article{pyvisionrl2026,
  title={PyVision-RL: Forging Open Agentic Vision Models via RL},
  author={Zhao, Shitian and Lin, Shaoheng and Li, Ming and Zhang, Haoquan and Peng, Wenshuo and Zhang, Kaipeng and Wei, Chen},
  journal={arXiv:2602.20739},
  year={2026}
}