LFM2.5-24B-A2B

Assess

Platforms

A 24B-parameter reasoning model with 2B active parameters for on-device agent workloads.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

7Hugging Face Blog·10/13/2026model_release
Liquid AI releases LFM2.5-24B-A2B for on-device agents
Liquid AI introduced LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters designed for fast, private on-device agents. The model adds a longer context window, expanded vocabulary, tool-use and multi-turn training, and reports strong benchmark results versus larger MoE competitors.