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---
base_model:
- open-r1/Qwen2.5-Math-7B-RoPE-300k
- Qwen/Qwen2.5-Math-7B
datasets:
- Elliott/Openr1-Math-46k-8192
license: mit
pipeline_tag: text-generation
library_name: transformers
arxiv: 2506.19767
---
# 📄 Introduction
Supervised Reinforcement Fine-Tuning (SRFT) is a single-stage method that unifies both fine-tuning paradigms through entropy-aware weighting mechanisms.
Paper: [arXiv](https://arxiv.org/abs/2506.19767)
Project Website: [SRFT](https://anonymous.4open.science/w/SRFT2025) |