Create README.md

README.md

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+---
+base_model:
+- Qwen/Qwen2.5-VL-72B-Instruct
+language:
+- en
+license: apache-2.0
+tags:
+- transformers
+- multimodal
+pipeline_tag: visual-question-answering
+---
+# INFRL-Qwen2.5-VL-72B-Preview
+## Model Overview
+- **INFRL-Qwen2.5-VL-72B-Preview** improves visual reasoning upon [Qwen2.5-VL-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct) model.
+
+- As of March 25th, 2025, **INFRL-Qwen2.5-VL-72B-Preview** is the best-performing open-sourced VL model on various visual reasoning benchmarks ([MathVision](https://mathllm.github.io/mathvision/),[MathVista](https://mathvista.github.io/),  [MathVerse](https://mathverse-cuhk.github.io/)). 
+
+
+## Evaluation
+
+| Models            | MathVision (test) | MathVista (testmini) | MathVerse (testmini) |
+|-------------------|-------------------|----------------------|----------------------|
+| GPT4o  | 30.6              | 60                   | 41.2                 |
+| Gemini-2.0-Flash  | 41.3              | 70.1                 | 50.6                 |
+| Claude 3.5 Sonnet | 33.5              | 67.7                 | 47.8                 |
+| QvQ-72B           | 35.9              | 71.4                 | 48.6                 |
+| InternVL2.5-78B   | 34.9              | 72.3                 | 51.7                 |
+| Qwen-VL-2.5-72B   | 38.1              | 74.8                 | 57.18                |
+| INFRL-VL-Preview  | 41.9              | 77.8                 | 58.84                |
+
+We will release a code repository for VLM evaluation. It supports RL training with simple rule-based rewards, meanwhile aligning with LLM-Judge results. 
+    
+Stay tuned!
+
+## Contributors
+### Supervisors
+Wei Chu • Yuan Qi
+
+### VL Team 
+Haozhe Wang • Zuming Huang 
+
+### RL Team
+Haozhe Wang • Chao Qu • Long Li
+
+## Thanks 
+Thanks to Jiaran Hao, Liuyihan Song for supports in the RL infrastructure.
+
+## Citation
+If you find our model useful, please consider citing:
+
+```
+@misc {INFRL_VL_Preview,
+	author       = { {Wang, Haozhe and Huang, Zuming and Qu, Chao and Chu, Wei and Qi, Yuan} },
+	title        = { INFRL-Qwen2.5-VL-72B-Preview },
+	year         = 2025,
+	url          = { https://huggingface.co/infly/INFRL-Qwen2.5-VL-72B-Preview},
+	publisher    = { Hugging Face }
+}
+```