LFM2.5 Embedding 350M
350M-parameter bidirectional multilingual bi-encoder that maps each document to a single dense vector for fast, cost-efficient multilingual and cross-lingual search. Supports 11 languages. Built from LFM2.5-350M-Base. Produces the smallest, cheapest index among LFM2.5 retrieval models. Available in GGUF format for CPU and edge deployment.
- Type
- Text
- Weights
- Open
- Downloads
- 23k
- Likes
- 161
- Pipeline
- sentence similarity
- License
- other
Model hub
LiquidAI/LFM2.5-Embedding-350M
- Repo
- LiquidAI/LFM2.5-Embedding-350M
- Library
- sentence-transformers
- Access
- Public
Technical tags and languages
Papers
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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.