Liquid AI Debuts Six Open-Weight Models for Local AI Workloads
Photo: TokenPost
Liquid AI announced its LFM3 family on Oct. 27, introducing six open-weight models designed to run and be fine-tuned on local hardware. Each has roughly two billion parameters, and the company says fine-tuning can be done on a single GPU. The lineup covers text, vision-language, audio and decision-making tasks. It also includes an omni model that handles text, images, video and audio. The six models build on the LFM3-1.7B-Base foundation. The text model supports a context window of 256,000 tokens, the amount of text it can process at once. The architecture combines gated short convolutions, sliding-window attention and global attention.
Source: TokenPost
