Liquid AI releases LFM3, a family of 2B-class multimodal models on one backbone
AILiquid AI releases LFM3, a family of six 2B-class models for text, vision, audio, omni, and decision tasks, all built from LFM3-1.7B-Base. The company says LFM3-1.7B outperforms LFM2.5-2.6B with 35% fewer parameters, and the text model fits in about 1 GB at 4-bit precision with a 256K context window.
AIWhy it matters.
The post names the backbone changes, benchmark results, and per-model Hugging Face usage details, giving a concrete basis for evaluating the family against LFM2.5.
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Hugging Face Blog · huggingface.coPublished · added here
Original title: Build specialized multimodal models with LFM3