Liquid AI releases LFM2.5 encoders for long-context tasks on CPU
tomaarsen · x · 2026-07-29
Liquid AI’s LFM2.5-Encoder-230M and LFM2.5-Encoder-350M are now on Hugging Face. The company says the bidirectional encoders are derived from its LFM2.5 backbones by switching from causal to bidirectional attention, making short convolutions non-causal, and training with a masked language modeling objective. The models target classification, natural language understanding, token-level tasks, and retrieval, and are designed to stay fast on long inputs, including CPU-only setups.
Related event: Liquid AI releases LFM2.5 Encoder 230M and 350M(7 posts)→
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