Map / Core AI / Foundation Models / LFM2.5 Embedding

LFM2.5 Embedding

Small multilingual embedding and ColBERT retrieval models

CuratedEmbedding Models

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What it does

LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M are Liquid AI's multilingual retrieval models. The first is a dense bi-encoder that produces one vector per document, and the second a late-interaction ColBERT model, both small enough to run on CPU. They are released on Hugging Face under the LFM Open License alongside LFM2.5 encoder models.

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Foundation Models, starting with the other Embedding Models.

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