初始化项目，由ModelHub XC社区提供模型

Model: Salesforce/SweRankLLM-Small
Source: Original Platform

README.md

@@ -0,0 +1,24 @@
+---
+license: cc-by-nc-4.0
+base_model:
+- nomic-ai/CodeRankLLM
+---
+`SweRankLLM-Small` is a 7B LLM based on `Qwen2.5-Coder-7B-Instruct` finetuned for listwise code-reranking. When combined with performant code retrievers like `SweRankEmbed`, it significantly enhances the quality of results for software issue localization.
+
+The model has been trained on large-scale issue localization data collected from public python github repositories. Check out our [blog post](https://gangiswag.github.io/SweRank/) and [paper](https://arxiv.org/abs/2505.07849) for more details!
+
+We release the scripts to evaluate our model's performance [here](https://github.com/gangiswag/SweRank?tab=readme-ov-file#swerankllm-evaluation-reranking).
+
+
+## Citation
+
+If you find this model work useful in your research, please consider citing our paper:
+
+```
+@article{reddy2025swerank,
+  title={SweRank: Software Issue Localization with Code Ranking},
+  author={Reddy, Revanth Gangi and Suresh, Tarun and Doo, JaeHyeok and Liu, Ye and Nguyen, Xuan Phi and Zhou, Yingbo and Yavuz, Semih and Xiong, Caiming and Ji, Heng and Joty, Shafiq},
+  journal={arXiv preprint arXiv:2505.07849},
+  year={2025}
+}
+```