Liquid AI releases LFM2.5-24B-A2B, a 24B reasoning model for on-device agents
Original titleLiquidAI/LFM2.5-24B-A2B
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Liquid AI releases LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters, aimed at fast, private on-device agents. The card reports 48.09 on LiveClaw against 38.19 for Qwen3.6-35B-A3B and 184 tokens/s on an Apple M5 Max. Weights are available in Transformers, FP8, GGUF, ONNX, and MLX-4bit formats, with a 131,072-token context window.
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Source: Liquid AI · new models on Hugging Face · huggingface.coPublished · added here