Add metadata and improve model card

README.md

@@ -1,4 +1,34 @@
-This tool is developed as part of our work  
-[*How to Fine-Tune a Reasoning Model? A Teacher–Student Cooperation Framework to Synthesize Student-Consistent SFT Data*](https://github.com/CoopReason/TESSY/blob/main/paper/TESSY.pdf).  
+---
+pipeline_tag: text-classification
+library_name: transformers
+---
 
-For more details, please refer to the [GitHub repository](https://github.com/CoopReason/TESSY/).
+# Boundary Predictor - TESSY
+
+This model is a boundary predictor developed as part of the work: 
+[*How to Fine-Tune a Reasoning Model? A Teacher–Student Cooperation Framework to Synthesize Student-Consistent SFT Data*](https://huggingface.co/papers/2604.14164).
+
+## Model Description
+
+This model serves as a critical component of **TESSY** (Teacher–Student Cooperation Data Synthesis), a framework designed to synthesize "on-policy" SFT data for reasoning models like Qwen3. 
+
+The primary role of this predictor is to identify **reasoning boundaries**—the specific points in a sequence where the model transitions between reasoning steps (capability tokens) and non-reasoning stylistic content (style tokens). By predicting these boundaries, TESSY allows a teacher model (to provide reasoning) and a student model (to provide stylistic consistency) to alternate during the data generation process.
+
+## Resources
+
+- **Paper:** [How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data](https://huggingface.co/papers/2604.14164)
+- **GitHub Repository:** [CoopReason/TESSY](https://github.com/CoopReason/TESSY/)
+- **Associated Dataset:** [TESSY-Code-80K](https://huggingface.co/datasets/CoopReason/TESSY-Code-80K)
+
+## Citation
+
+If you find this work or model useful, please cite:
+
+```bibtex
+@article{TESSY,
+  title={How to Fine-Tune a Reasoning Model? A Teacher--Student Cooperation Framework to Synthesize Student-Consistent SFT Data},
+  author={Huang, Zixian and Yang, Kaichen and Huang, Xu and Hao, Feiyang and Qiming, Ge and Li, Bowen and Du, He and Chen, Kai and Guo, Qipeng},
+  journal={arXiv preprint arXiv:2604.14164},
+  year={2026}
+}
+```