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

πŸ“ƒ Paper | πŸš€ GitHub

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 data SWE-Fixer-Train-110K we curated for SWE-Fixer training.

For more information, please visit our project page.

πŸ“š 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}
}
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Models trained or fine-tuned on internlm/SWE-Fixer-Train-110K

Paper for internlm/SWE-Fixer-Train-110K