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Liquid AI

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An AI lab building compact Liquid Foundation Models that run on-device on phones, laptops and cars rather than in the cloud.

What it does

Liquid AI develops device-native foundation models, its Liquid Foundation Models (LFMs), designed for the latency, privacy and hardware limits of edge devices. The models run on phones, laptops, cars and more across runtimes like llama.cpp, MLX, ONNX and CoreML, with tens of millions of downloads.

Core features

Liquid Foundation Models (LFMs) for on-device use
Variants sized to run on phones, laptops and cars
Broad runtime support (llama.cpp, MLX, ONNX, CoreML, vLLM)
On-device reasoning, vision and retrieval models
Enterprise and embedded deployment partnerships

Best for

Run private AI locally on consumer hardware
Embed intelligence in cars and edge devices
Deploy tool-calling agents without the cloud

Reviews

Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.

Tutorials

Step-by-step: exactly how to get things done with it.