cross-encoder/ms-marco-MiniLM-L4-v2

A cross-encoder reranker model trained on the MS MARCO Passage Ranking dataset, designed to score query-passage pairs for relevance in multi-stage retrieval pipelines. It sits in a family of MiniLM-based rerankers offering a mid-size tradeoff: more accurate than the L2 variant and faster than the L6 variant. Source: supabase.