Liquid AI Releases LFM2.5-24B-A2B for Local AI

Liquid AI released LFM2.5-24B-A2B on Oct. 13, introducing an open-weight reasoning model designed to run AI agents locally on laptops and other supported hardware. For IT teams, it offers another way to automate tasks while keeping model inference on their own equipment.

The model has 24 billion parameters but activates approximately 2.45 billion per token, reducing the computation needed to generate responses. That does not give it the memory requirements of a 2-billion-parameter model.