Oossa

Liquid AI releases LFM2.5-24B-A2B reasoning model on Hugging Face

The 24‑billion‑parameter model, with only 2 billion active parameters, is tuned for fast on‑device agents and tool use.

NoteBy Published by Oossa: Last updated: 1 min read

Liquid AI added LFM2.5-24B-A2B to Hugging Face on Oct 12 2026. It is a 24 B‑parameter MoE model that activates just 2 B parameters per token, making inference cheap and fast. The company says it matches Qwen3.6‑35B‑A3B on agentic and tool‑use benchmarks while running up to 1.7× faster on‑device, reaching 184 tok/s on an Apple M5 Max and over 21 K tok/s on a single NVIDIA B300 GPU.

Why it matters

Developers can run sophisticated reasoning agents locally without cloud costs, enabling faster, private AI tools.

Was this article useful?
Share

Read next

Oossa · Newsletter

The week in AI, explained

Every Monday: the stories worth knowing, in plain language. Free, no spam.