Liquid AI releases LFM2.5-24B-A2B, an open model for on-device agents
Sorted AI15 OctLiquid AI released LFM2.5-24B-A2B, an open-weight reasoning model with 24 billion parameters but only 2 billion active for each token, which makes it cheap and fast to run. It has a 131K token context window, calls tools, and was trained inside agent harnesses such as OpenClaw, Hermes Agent, Pi and OpenCode. Liquid AI says it runs at 184 tokens a second on an Apple M5 Max and beats bigger rivals like Qwen3.6-35B-A3B on several tool-use tests (48.09 vs 38.19 on LiveClaw), but trails them on knowledge and coding tests (51.0 vs 66.2 on SWE-Bench Verified). These are the company's own numbers, not independent tests. It works with llama.cpp, MLX, vLLM, SGLang and ONNX from day one.
Model page:LFM2.5-24B-A2B →
Why it matters: If you want an agent that runs on a laptop and keeps data local, for example sorting documents or filling in forms, this is worth a test. Pair it with search or retrieval for fact-heavy work, as Liquid AI itself advises.
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