metadata
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
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.
📚 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}
}