39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
---
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license: mit
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datasets:
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- internlm/SWE-Fixer-Eval
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- internlm/SWE-Fixer-Train-110K
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base_model:
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- Qwen/Qwen2.5-7B
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pipeline_tag: text-generation
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tags:
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- code
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---
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# SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
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<p align="left">
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<a href="https://arxiv.org/abs/2501.05040">📃 Paper </a>
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</p>
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<p align="left">
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<a href="https://github.com/InternLM/SWE-Fixer" > 🚀 GitHub</a>
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</p>
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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.
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This repo holds the **SWE-Fixer-Retriever-7B** model, which is finetuned on the Qwen2.5-7B.
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For more information, please visit our [project page](https://github.com/InternLM/SWE-Fixer).
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## 📚 Citation
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```
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@article{xie2025swefixer,
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title={SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution},
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author={Xie, Chengxing and Li, Bowen and Gao, Chang and Du, He and Lam, Wai and Zou, Difan and Chen, Kai},
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journal={arXiv preprint arXiv:2501.05040},
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year={2025}
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}
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```
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