README.md

---
pipeline_tag: text-classification
library_name: transformers
---

# 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}
}
```