LFM2.5-Encoder

Liquid Ai🇺🇸 United States
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Context window8K tokens

Version History

2.5major

Liquid AI released LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, bidirectional encoder models converted from LFM2.5 decoder backbones, offering 8,192-token context with claimed 3.7x faster CPU inference than ModernBERT-base at long context.

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model releaseLiquid Ai

Liquid AI Releases LFM2.5-Encoder Models Claiming 3.7x Faster CPU Inference Than ModernBERT at Long Context

Liquid AI released two open-weight encoder models, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, built for classification and routing tasks at long context on CPU hardware. The company claims the smaller model runs 3.7x faster than ModernBERT-base at 8,192 tokens while matching or beating larger encoders on GLUE, SuperGLUE, and multilingual benchmarks.

3 min read