LFM2.5-24B-A2B: Built for Fast On-Device Agents
Liquid AI releases a 24B-parameter reasoning model with 2B active parameters for on-device agents.
New model
Liquid AI released LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters, designed for fast, private on-device agents.
The model is competitive with larger MoEs on agentic and tool-use benchmarks, scoring 48.09 on LiveClaw versus 38.19 and 27.69 on AutomationBench versus 8.72.
It runs up to 1.7× faster than comparable MoEs on-device, achieving 184 tokens/s on an 
Apple M5 Max and over 21K output tokens/s on a single 
NVIDIA B300 GPU.
