LFM2.5 is Liquid AI's compact, edge-focused model built for on-device deployment rather than cloud inference. It runs efficiently on consumer hardware like laptop CPUs while maintaining a 32k context window — a notable feat at 1.2B parameters. The model family spans text, vision, audio, and Japanese-language variants, reflecting a design philosophy that prioritizes versatility within tight resource constraints.