lmms-lab / MMSearch-R1-7B-0807

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Model's Last Updated: August 07 2025

Introduction of MMSearch-R1-7B-0807

Model Details of MMSearch-R1-7B-0807

MMSearch-R1-7B
Introduction

MMSearch-R1-7B is a search-augmented LMM trained with end-to-end reinforcement learning, equipped with the ability to invoke multimodal search tools on demand. In 2025-08, we update this model by integrating improved reasoning capabilities. Please check our blog .

Model Details
Updated Model Performance
Models MMK12 MathVerse (testmini) MathVision (testmini) MathVista (testmini) MMMU (val) AI2D ChartQA MME RealworldQA OCRBench DocVQA MMBench MMStar MiaBench
Qwen2.5-VL-7B 34.4 46.2 24.0 66.6 49.8 93.3 94.4 630.4/1685.2 68.5 85.2 94.6 82.9 62.6 81.7
General Search 43.6 52.0 27.3 74.7 56.1 94.6 94.0 718.9/1775.3 65.5 77.8 89.4 84.0 60.4 44.4
Models Infoseek MMSearch FVQA SimpleVQA
Qwen2.5-VL-7B 20.1 12.8 20.3 38.4
MMSearch 55.1 53.8 58.4 57.4
General Search 52.0 54.9 52.8 57.0
Citation
@article{wu2025mmsearch,
  title={MMSearch-R1: Incentivizing LMMs to Search},
  author={Wu, Jinming and Deng, Zihao and Li, Wei and Liu, Yiding and You, Bo and Li, Bo and Ma, Zejun and Liu, Ziwei},
  journal={arXiv preprint arXiv:2506.20670},
  year={2025}
}

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MMSearch-R1-7B-0807 install

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