LFM2.5-2.6B is part of LFM2.5, a family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with a 128K context window and agentic post-training. Best-in-class agent: Competitive with models 4x larger on tool use, instruction following, and multi-step agentic tasks. Agentic reinforcement learning: Trained inside the most popular agentic harnesses to improve compatibility. Efficient inference: 220 tok/s on an Apple M5 Max and 113 tok/s on an AMD Ryzen CPU, in un...