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