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
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IMPACT Enhances information retrieval systems by providing more accurate and efficient reranking capabilities.
RANK_REASON 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]