LFM2.5 ColBERT 350M
350M-parameter bidirectional multilingual retrieval model using per-token ColBERT-style late interaction (MaxSim) for accurate multilingual and cross-lingual search. Supports 11 languages. Built from LFM2.5-350M-Base with bidirectional attention and non-causal convolutions. Available in GGUF format for CPU and edge deployment.
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- Text
- Weights
- Open
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- Pipeline
- sentence similarity
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Model hub
LiquidAI/LFM2.5-ColBERT-350M
- Repo
- LiquidAI/LFM2.5-ColBERT-350M
- Library
- PyLate
- Access
- Public
Technical tags and languages
Papers
1
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About Liquid AI
1
Liquid AI is an MIT spin-off building efficient general-purpose AI models (Liquid Foundation Models, or LFMs) that run on edge devices with less memory and power. They recently raised $250M in Series A funding to scale model development and deployment.