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.
Liquid AI builds efficient Liquid Foundation Models (LFMs) for on-device, edge, and cloud AI with low latency, privacy, and hardware-aware deployment.
Visit liquid.ai → On Hacker News Sep 2024 – Oct 2026
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.
Explore Liquid AI’s LFM2.5-8B-A1B, an on-device Mixture of Experts model with 128K context, fast tool calling, and strong AI benchmarks.
Announcing Liquid Foundation Models: state-of-the-art local AI with a smaller memory footprint and faster inference.
LFM3 is Liquid AI’s new open-weight model family: 2B-class text, vision, audio, omni, and decision models built to fine-tune and run fast on any device.