The 2.6-billion parameter LFM2.5 model optimizes local agent performance on consumer hardware. It balances a small footprint with high reasoning capabilities to reduce latency and cloud costs. Developers can now run complex agentic workflows on-device without sacrificing reliability. This release targets the gap between massive LLMs and efficient edge computing.