Hugging Face has released a new family of six Ettin Reranker models, built on top of Ettin ModernBERT encoders. These models offer state-of-the-art performance for their respective sizes and are designed for the retrieve-then-rerank pattern in information retrieval systems. The release includes the models, their training data, and a full training recipe, enabling users to integrate them or even train their own rerankers. AI
影响 Enhances information retrieval systems by providing more accurate and efficient reranking capabilities.
排序理由 Release of new open-source models and training recipes by a prominent AI community platform. [lever_c_demoted from research: ic=1 ai=1.0]
- Ettin ModernBERT
- Ettin Reranker
- google/embeddinggemma-300m
- Hugging Face
- lightonai/embeddings-fine-tuning
- lightonai/embeddings-pre-training
- mixedbread-ai/mxbai-rerank-large-v2
- MTEB
- Sentence Transformers
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