lmms-lab/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

• —Model name: MMSearch-R1-7B-0807
• —Architecture: Qwen2.5-VL-7B base model, fine-tuned with Reinforcement Learning (GRPO)
• —Model type: Multimodal Large Language Model with Search-Augmentation
• —Languages: English(primary), multilingual(partially)
• —License: Apache license 2.0
• —Paper: MMSearch-R1: Incentivizing LMMs to Search
• —Code: EvolvingLMMs-Lab/multimodal-search-r1

Updated Model Performance

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}
}