LFM2.5-Encoder-350M
Open-weight bidirectional encoder converted from the LFM2.5 decoder, 8K context on CPU.
About
LFM2.5-Encoder-350M is an open-weight bidirectional encoder released by Liquid AI in mid-2026, converted from the LFM2.5-350M decoder backbone rather than trained from scratch. The team replaced causal attention with bidirectional masking and applied masked-language-modeling training, producing an 8,192-token-context encoder aimed at edge, regulated, and high-volume pipeline settings.
Liquid AI positions the encoder family for understanding and classification workloads: long documents, zero-shot routing, policy linting, and PII detection across 16 languages, all runnable on CPU-only hardware. Both encoder variants ship under the LFM Open License v1.0 with Hugging Face checkpoints; fine-tuning is required for task-specific use.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 106; Trending score 66/100 from researcher assessment.