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Liquid AI•July 28, 2026
LFM2.5-Encoder-350M
Open Source
encoder
bidirectional
masked-lm
multilingual
### TL;DR
LFM2.5-Encoder-350M is a multilingual bidirectional encoder model built on the LFM2 hybrid architecture. It is designed for high-performance, on-device tasks such as text classification, retrieval, and semantic similarity across 15 languages.
Key Insights & Metrics
Pricing
Free to download, run, and fine-tune
Cost structure
Version
2.5
Current release version
Hardware
Compatible with standard CPU and GPU environments; optimized for on-device deployment.
Compute requirements
Category
Open Source
Licensing model
Region
United States
Primary region
Key Features
- 8,192-token context window
- Multilingual support across 15 languages
- Efficient LFM2 hybrid backbone with gated convolutions
- Optimized for on-device CPU inference
- Full bidirectional attention for masked language modeling
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