Create README.md

README.md

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+---
+license: mit
+base_model:
+- CodeGoat24/UnifiedReward-2.0-qwen35-9b
+---
+
+## Model Summary
+
+`UnifiedReward-Think-qwen35-9b` is the first unified multimodal CoT reward model, capable of multi-dimensional, step-by-step long-chain reasoning for both visual understanding and generation reward tasks.
+
+For further details, please refer to the following resources:
+- 📰 Paper: https://arxiv.org/pdf/2505.03318
+- 🪐 Project Page: https://codegoat24.github.io/UnifiedReward/think
+- 🤗 Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
+- 🤗 Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
+- 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io)
+
+## vLLM Server Deployment
+
+```
+export VLLM_DISABLE_FLASHINFER_GDN_PREFILL=1
+export TOKENIZERS_PARALLELISM=false
+vllm serve CodeGoat24/UnifiedReward-Think-qwen35-9b \
+ --host localhost \
+ --port 8080 \
+ --trust-remote-code \
+ --served-model-name UnifiedReward \
+ --gpu-memory-utilization 0.95 \
+ --mm-encoder-tp-mode data \
+ --mm-processor-cache-type shm \
+ --enable-prefix-caching \
+ --tensor-parallel-size 8 \
+ --default-chat-template-kwargs '{"enable_thinking": false}'
+```
+
+The inference code is provided [here](https://github.com/CodeGoat24/UnifiedReward/tree/main/UnifiedReward-Think/inference_qwen/UnifiedReward-Think-qwen3-inference).
+
+## Citation
+
+```
+@article{unifiedreward-think,
+  title={Unified multimodal chain-of-thought reward model through reinforcement fine-tuning},
+  author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Wang, Chunyu and Lu, Qinglin and Jin, Cheng and Wang, Jiaqi},
+  journal={arXiv preprint arXiv:2505.03318},
+  year={2025}
+}
+```