jhu-clsp/rank1-7b

The jhu-clsp/rank1-7b is a 7.6 billion parameter reasoning reranker model, built upon the Qwen2.5-7B base, developed by JHU CLSP. It specializes in information retrieval by generating explicit reasoning chains before making relevance judgments, allowing it to break down complex decisions. This model is designed to improve performance on diverse retrieval tasks by "thinking" through query-document relevance.