Liquid AI unveils LFM3 family of customizable AI models for local deployment

Liquid AI is betting that the next big thing in artificial intelligence is actually pretty small. On October 27, 2026, the company launched its LFM3 family: six open-weight multimodal models built to run and be fine-tuned on local hardware. Each model carries approximately 2 billion parameters. In an industry where model sizes often get announced like stadium attendance figures, that is a deliberately modest number. The pitch is simple. You should not need a data center to get useful AI, and you should be able to customize it on a single GPU. Six models, one backbone All six models share a common foundation called LFM3-1.7B-Base. Think of it as one chassis with different bodies bolted on top, each tuned for a different kind of input. The lineup spans text, vision-language, audio, decision-making, and an “omni” model. That omni variant handles text, images, video, and audio together, which makes it the Swiss Army knife of the bunch. The text model, LFM3-1.7B, supports a context window of 256K tokens. A context window is how much material a model can hold in its head at once, so a larger one means it can work through long documents without losing the thread. The vision-language model...