初始化项目，由ModelHub XC社区提供模型

Model: Shanghai_AI_Laboratory/SWE-Fixer-Retriever-7B
Source: Original Platform

README.md

@@ -0,0 +1,38 @@
+---
+license: mit
+datasets:
+- internlm/SWE-Fixer-Eval
+- internlm/SWE-Fixer-Train-110K
+base_model:
+- Qwen/Qwen2.5-7B
+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-Retriever-7B** 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}
+}
+```
+