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Liquid AI launches LFM3, a multimodal model family built for specialization

Discovery source: Liquid AI on Hugging Face · Source date:

AI-generated summary with automated source checks. It has not been reviewed by a human; consult the linked evidence.

Liquid AI says LFM3 is its new generation of Liquid Foundation Models, designed as a starting point for specialized intelligence across text, vision, audio, omni, and decision use cases. The company says the family uses one shared backbone and stays in the 2B-parameter range, so teams can fine-tune a chosen variant on a single GPU and deploy it on device or in their application environment. Liquid AI also claims LFM3-1.7B outperforms LFM2.5-2.6B with 35% fewer parameters, but those performance results are the company’s own measurements. The announcement adds that the family includes six models, including first omni support and video input for vision, plus a 256K context window for agentic workloads.

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