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Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Models
Liquid AI introduced LFM3, a family of six open-weight 2B-class models built on one tri-hybrid backbone for text, vision, audio, omni and decision tasks. The 1.7B text model runs in about 1GB at 4-bit with a 256K context and can be fine-tuned on a single GPU. Liquid reports strong agentic benchmark results versus larger models, while knowledge and agentic coding trail bigger systems. Weights, docs and API access are available.
Why it matters: This is a concrete open-weight model release with practical on-device deployment details and fresh benchmark comparisons, useful for developers evaluating small multimodal backbones.
Liquid AILiquid Foundation Modelssmall language models