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BGE Reranker v2-M3
BGE Reranker v2-M3 is a multilingual cross-encoder reranker model from BAAI that scores query-passage relevance pairs to reorder candidate results in search and RAG pipelines. It is lightweight and optimized for fast inference while retaining the multilingual coverage of the BGE-M3 family. Source: supabase.
Value score
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Context
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tokens
Max output
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tokens
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Identity
- Developer
- Hugging Face
- Openness
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- Modalities
- Text-classification
- Release
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- Knowledge cutoff
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- Deprecation
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- API docs
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Pricing
- Input / 1M
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- Output / 1M
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- Speed
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