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Liquid AI releases LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters, today. It scores 48.09 on LiveClaw versus 38.19 for Qwen3.6-35B-A3B and runs up to 1.7 times faster than comparable MoEs on-device. The model is open-weight and available on Hugging Face for local deployment across Apple, AMD, and Nvidia hardware.
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