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Oct 27, 2026

Liquid AI releases LFM3 family of six open-weight 2B-class multimodal models

Liquid AI released LFM3, a family of six open-weight, 2-billion-parameter multimodal models covering text, vision, and audio capabilities. The models are designed to run on enterprise-controlled devices with company-reported competitive performance.

Oct 27, 20262 sources

Top claims

▪Liquid AI reported that LFM3-1.7B fits into approximately 1GB of storage at 4-bit precision, enabling local deployment on laptops and mobile phones
▪Liquid AI's LFM3 backbone features a tri-hybrid architecture combining 13 gated short convolutions, 5 sliding-window attention layers with a 256-token window, and 6 global attention layers across 24 layers
▪Liquid AI reported that a single Nvidia B300 GPU running SGLang with LFM3-1.7B generated an aggregate throughput of 3.6 billion tokens daily at 1,024 concurrent requests

Subtopics

AI agents1 AI benchmarks1 AI Models1 Edge inference1 Hybrid architectures1 Multimodal1 Open-weight models1 SWE-Bench Verified1 Transformers1

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