Post
  1. Portrait of Onur Solmaz
    @onusoz · /2026/08/04 · View on
    LFM 2.5-2.6B by @liquidai just launched and it punches above its weight! It can run 32 sessions (and more) in parallel with hundreds of output tokens per second aggregate throughput, on the DGX Spark! And this is just the base vLLM config on release date, I expect it to be optimized a lot more!
    @liquidai ·
    Today we release LFM2.5-2.6B, an agentic model that runs entirely on-device. It plans, calls tools, and works through multi-step tasks on phones, laptops, PCs, and robots. Data never leaves the device, and the marginal cost of each run is essentially zero. > Pre-trained on ~34T tokens > LFM2.5 flagship hybrid architecture > Context length: 128K > Vocab size: 128K > balanced intelligence per watt > customizable on a single GPU for any specialized task > LFM2 open-weight license Comparable or better scores compared to models up to nearly 4x its size: > ToolSandbox 77.83, ahead of Qwen3.5-9B at 76.44 > Multi-IF 80.07, ahead of Gemma-4-E4B-it at 77.35 > IFStruct 85.49, ahead of Qwen3.5-9B at 78.50 🧵