| --- |
| license: apache-2.0 |
| --- |
| ## 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](https://www.lmms-lab.com/posts/mmsearch_r1_improved/). |
|
|
| ### 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](https://arxiv.org/abs/2506.20670) |
| - Code: [EvolvingLMMs-Lab/multimodal-search-r1](https://github.com/EvolvingLMMs-Lab/multimodal-search-r1) |
|
|
| ### 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} |
| } |
| ``` |
|
|
