jhu-clsp / rank1-0.5b
Other630M1482Updated Apr 8, 2025
Downloads
148
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2
Last updated
Apr 8, 2025
License
mit
rank1 is a reasoning reranker model that "thinks" before making relevance judgments. This 0.5B parameter model is trained from the Qwen2.5-0.5B base model and leverages test-time compute to generate reasoning chains before deciding if a document is relevant to a query.
Tasks & library
- text ranking
- transformers
Tags
- transformers
- qwen2
- text-generation
- reranker
- retrieval
- text-ranking
