ms-marco-MiniLM-L6-v2
by cross-encoder
Cross-encoder reranker trained on the MS MARCO passage retrieval dataset, designed to score query-document pairs jointly rather than encoding them independently. Distilled from a 12-layer cross-encoder into 6 layers to reduce latency while retaining re-ranking accuracy. Used as a second-stage ranker on top of fast first-stage retrieval (BM25 or bi-encoder).
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