---
license: cc-by-nc-4.0
base_model:
- Qwen/Qwen2.5-32B-Instruct
---
`SweRankLLM-Large` is a 32B LLM based on `Qwen2.5-32B-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}
}
```