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`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.
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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!
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license: cc-by-nc-4.0
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base_model:
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- Qwen/Qwen2.5-32B-Instruct
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---
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`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.
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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!
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