The LFM2.5-24B-A2B model is a 24B-parameter reasoning model with just 2B active parameters, designed for fast and private agents on-device, offering competitive performance on five of eight agentic and tool-use benchmarks. It runs up to 1.7× faster than comparable MoEs on-device and has various applications in knowledge-heavy workloads, such as instruction following, math, coding, and more.