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`SweRankEmbed-Large` is a 7B bi-encoder for code retrieval. It significantly outperforms other embedding models on the issue localization task.
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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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- Alibaba-NLP/gte-Qwen2-7B-instruct
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`SweRankEmbed-Large` is a 7B bi-encoder for code retrieval. It significantly outperforms other embedding models on the issue localization task.
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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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