Models · MarkTechPost ·
Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages
Liquid AI introduced LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, two retriever models for multilingual search. The models use a dense bi-encoder and a ColBERT late-interaction approach and are designed for edge-device use across 11 languages.