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Merge branch 'main' of https://huggingface.co/mixedbread-ai/mxbai-rerank-base-v2

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@@ -139,7 +139,7 @@ tags:
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  <sup> 🍞 Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. <a href="https://mixedbread.com"><b>Get in touch for access.</b></a> </sup>
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  </p>
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- # 🍞 mxbai-rerank-base-v2
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  This is the base model in our family of powerful reranker models. You can learn more about the models in our [blog post](https://www.mixedbread.ai/blog/mxbai-rerank-v2).
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@@ -258,7 +258,7 @@ arXiv:
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  ```bibtex
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  @article{li2025prorank,
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  title={ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking},
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- author={Li, Xianming and Shakir, Aamir and Huang, Rui and Lipp, Julius and Li, Jing},
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  journal={arXiv preprint arXiv:2506.03487},
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  year={2025}
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  }
 
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  <sup> 🍞 Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. <a href="https://mixedbread.com"><b>Get in touch for access.</b></a> </sup>
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  </p>
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+ # 🍞 mxbai-rerank-base-v2 (a.k.a ProRank-0.5B)
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  This is the base model in our family of powerful reranker models. You can learn more about the models in our [blog post](https://www.mixedbread.ai/blog/mxbai-rerank-v2).
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  ```bibtex
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  @article{li2025prorank,
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  title={ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking},
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+ author={Xianming Li and Aamir Shakir and Rui Huang and Julius Lipp and Benjamin Clavié and Jing Li},
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  journal={arXiv preprint arXiv:2506.03487},
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  year={2025}
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  }