Liquid AI
Device-native foundation models.
321 followers
Device-native foundation models.
321 followers
Advanced intelligence for processors outside of data centers.
Built for the latency, privacy, and hardware constraints of the physical world.
This is the 6th launch from Liquid AI. View more
LFM3 by Liquid AI
Launched this week
LFM3 is Liquid AI’s third generation of Liquid Foundation Models, with open weights and a shared backbone across text, vision, audio, omni and decision models. The first release is six 2B-class models, including a 1.7B text model that fits in about 1 GB at 4-bit and has a 256K context. Liquid says they run on phones, laptops and edge devices and can be fine-tuned on one GPU. Weights are on Hugging Face.
Launch tags:Artificial Intelligence
Launch Team
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Promoted
A 1.7B model with 256K context in about 1 GB is a strong combo for on-device agents. How reliable is tool-calling at this size - good enough to trust in an agent loop?