# Information Retrieval Augmentation
Rank1 3b
MIT
rank1-3b is an information retrieval re-ranking model trained on Qwen2.5-3B, which performs relevance judgments by generating reasoning chains
Large Language Model
Transformers English

R
jhu-clsp
103
0
Rank1 7b
MIT
rank1-7b is a 7-billion-parameter reranking model trained on Qwen2.5-7B, performing relevance judgments through generated reasoning chains
Large Language Model
Transformers English

R
jhu-clsp
661
1
Featured Recommended AI Models