Liquid AI releases LFM3: 6 open-weight 2B-class multimodal models
Read original source →venturebeat.com
The family branches six models from one LFM3-1.7B-Base backbone, covering text, vision, audio, omni and decision tasks, with a 256K context window and ~1 GB memory use at 4-bit. Liquid reports LFM3-1.7B averaging 49.37 across 29 benchmarks versus 47.24 for Qwen3.5-9B on its own eval.
6 sources
Build specialized multimodal models with LFM3huggingface.co
Liquid AI’s new LFM3 models put browser agents, voice commands, and image recognition onto enterprise-controlled devicesventurebeat.com
Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Modelsmarktechpost.com
Introducing LFM3: Every Modality for Specialized Intelligenceliquid.ai
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid...x.com
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