README.md

---
license: mit
datasets:
- internlm/SWE-Fixer-Eval
- internlm/SWE-Fixer-Train-110K
base_model:
- Qwen/Qwen2.5-72B
pipeline_tag: text-generation
tags:
- code
---

# SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

<p align="left">
<a href="https://arxiv.org/abs/2501.05040">📃 Paper </a>
</p>

<p align="left">
<a href="https://github.com/InternLM/SWE-Fixer" > 🚀 GitHub</a>
</p>

SWE-Fixer is a simple yet effective solution for addressing real-world GitHub issues by training open-source LLMs. It features a streamlined retrieve-then-edit pipeline with two core components: a code file retriever and a code editor.

This repo holds the **SWE-Fixer-Editor-72B** model, which is finetuned on the Qwen2.5-7B.

For more information, please visit our [project page](https://github.com/InternLM/SWE-Fixer).

## 📚 Citation
```
@article{xie2025swefixer,
  title={SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution}, 
  author={Xie, Chengxing and Li, Bowen and Gao, Chang and Du, He and Lam, Wai and Zou, Difan and Chen, Kai},
  journal={arXiv preprint arXiv:2501.05040},
  year={2025}
}
```