LFM2.5-24B-A2B: Built for Fast On-Device Agents

LFM2.5-24B-A2B: an open-weight 24B reasoning model with 2B active parameters, built for fast, private on-device agents. Beats Qwen3.6-35B-A3B on LiveClaw.
288 points by gmays 7 days ago www.liquid.ai 81 comments

Summary

LFM2.5-24B-A2B is a new open-weight reasoning model designed for efficient performance on devices, featuring 2 billion active parameters. It surpasses the capabilities of the Qwen3.6-35B-A3B model in a competitive benchmark, indicating significant advancements in on-device AI processing.

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