
What happened
Liquid AI released LFM2.5-24B-A2B, a 24-billion-parameter MoE model with 2.45 billion active parameters, pretrained on 33 trillion tokens and tuned for agent workflows.
Why it matters
The model scores higher than larger rivals like Gemma-4-26B-A4B-it and Qwen3.6-35B-A3B on agent benchmarks, and is pitched as an ideal base for on-device agents.
WHO IT HITSDevelopers and IT teams building local AI agents on laptops or desktops can run LFM2.5-24B-A2B without cloud API calls, as the demo shows Hermes Agent running fully on-device.
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Liquid AI's LFM2.5-24B-A2B is a 24-billion-parameter Mixture-of-Experts model with only 2.45 billion active parameters, pretrained on 33 trillion tokens and further trained for agent workflows. It is positioned against larger models like Qwen3.6-35B-A3B and Gemma-4-26B-A4B-it, and it scores higher on agentic tests such as AutomationBench and BFCLv4. Because llama.cpp, MLX, vLLM, SGLang, and ONNX already support it, the model can run locally on Windows and Mac. A demo shows Hermes Agent running LFM2.5-24B-A2B on a single laptop with no cloud API calls or keys.
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