Add model card and metadata

README.md

@@ -0,0 +1,29 @@
+---
+pipeline_tag: text-generation
+library_name: transformers
+base_model: Qwen/Qwen3-8B
+---
+
+# Composition-RL-8B
+
+This repository contains the 8B model checkpoint for **Composition-RL**, as presented in the paper [Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models](https://huggingface.co/papers/2602.12036).
+
+Composition-RL is a data-efficient Reinforcement Learning with Verifiable Rewards (RLVR) approach that addresses the challenge of "uninformative" easy prompts by automatically composing multiple verifiable problems into a single, harder verifiable prompt. This maintains informative training signals and improves reasoning performance across various model sizes.
+
+## Model Details
+- **Developed by:** Xin Xu, Clive Bai, Kai Yang, Tianhao Chen, Yangkun Chen, Weijie Liu, Hao Chen, Yang Wang, Saiyong Yang, Can Yang.
+- **Initial Model:** Qwen3-8B-Base.
+- **Training Set:** [MATH-Composition-199K](https://huggingface.co/datasets/xx18/MATH-Composition-199K).
+- **Paper:** [Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models](https://huggingface.co/papers/2602.12036).
+- **Code:** [GitHub Repository](https://github.com/XinXU-USTC/Composition-RL).
+
+## Citation
+If you find this work helpful, please consider citing:
+```bibtex
+@article{xu2026composition-rl,
+  title={Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models},
+  author={Xu, Xin and Bai, Clive and Yang, Kai and Chen, Tianhao and Chen, Yangkun and Liu, Weijie and Chen, Hao and Wang, Yang and Yang, Saiyong and Yang, Can},
+  journal={arXiv preprint arXiv:2602.12036},
+  year={2026}
+}
+```