Liquid AI Launches LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M Multilingual Search Models
Decision Brief
What changedLiquid AI releases LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M for fast multilingual search on edge devices.
Why it mattersOptimized for edge with 11-language support, these models are directly relevant for AI builders creating lightweight multilingual search apps.
Who should careTeams building on model APIs
Affected stackNo specific stack identified
Builder actionMonitor
Source confidenceMedium · Reliable media or first-hand reporting
Liquid AI introduces LFM2.5-Embedding-350M (dense bi-encoder) and LFM2.5-ColBERT-350M (late interaction model), together forming the LFM2.5 Retrievers for edge-device multilingual search. They support 11 languages, balancing speed and accuracy.
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Sources
- MarkTechPost
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- MarkTechPost