LFM2.5 is an on‑device AI foundation model from Liquid AI that runs locally on phones, vehicles and IoT hardware. It expands the LFM2 architecture with higher quality outputs, lower latency and support for text, vision‑language and audio modalities. The model benefits from broader pre‑training and reinforcement learning, making it suitable for edge AI agents that operate without cloud connectivity.