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Model: TIGER-Lab/VL-Rethinker-7B Source: Original Platform
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---
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base_model:
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- Qwen/Qwen2.5-VL-7B-Instruct
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language:
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- en
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license: apache-2.0
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pipeline_tag: image-text-to-text
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tags:
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- transformers
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- multimodal
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library_name: transformers
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---
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# VL-Rethinker-7B
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**🚀 News:** <u>We release our meticulously curated collection of RL training queries for multimodal reasoning: [ViRL39K](https://huggingface.co/datasets/TIGER-Lab/ViRL39K).</u>
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**VL-Rethinker-7B** achieves SoTA results on various multimodal reasoning benchmarks.
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It is trained using the **GRPO-SSR and Forced Rethinking** techniques, using meticulously curated [ViRL39K](https://huggingface.co/datasets/TIGER-Lab/ViRL39K).
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For details of our approach and performance comparison, please see our [paper](https://github.com/TIGER-AI-Lab/VL-Rethinker/blob/main/paper.pdf).
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For details of training and evaluation, please see our [code repo](https://github.com/TIGER-AI-Lab/VL-Rethinker/).
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Explore further via the following links:
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| [**🚀Project Page**](https://tiger-ai-lab.github.io/VL-Rethinker/) | [**📖Paper**](https://arxiv.org/abs/2504.08837) | [**🔗Github**](https://github.com/TIGER-AI-Lab/VL-Rethinker/) | [**🤗Data**](https://huggingface.co/datasets/TIGER-Lab/ViRL39K) |
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## Citation
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If you feel this model useful, please give us a free cite:
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```bibtex
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@article{vl-rethinker,
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title={VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning},
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author = {Wang, Haozhe and Qu, Chao and Huang, Zuming and Chu, Wei and Lin,Fangzhen and Chen, Wenhu},
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journal={arXiv preprint arXiv:2504.08837},
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year={2025}
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}
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```
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