jhu-clsp / rank1-0.5b

Other630M1482Updated Apr 8, 2025

Downloads

148

Likes

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

Technical specifications

Parameters630M
Librarytransformers
Languagesen
Licensemit