ENTITY
LFM2.5-Embedding-350M
LFM2.5-Embedding-350M
PulseAugur coverage of LFM2.5-Embedding-350M — every cluster mentioning LFM2.5-Embedding-350M across labs, papers, and developer communities, ranked by signal.
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Liquid AI releases compact multilingual search models for edge devices
Liquid AI has launched two new retrieval models, LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, each with 350 million parameters. These models are designed for efficient multilingual search across 11 languages and can o…
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LiquidAI releases LFM2.5 embedding and ColBERT retrieval models
LiquidAI has released two new multilingual retrieval models: LFM2.5-Embedding-350M, a dense bi-encoder for fast indexing, and LFM2.5-ColBERT-350M, a late-interaction model for higher accuracy. Both models have 350 milli…