Liquid AI shipped LFM2.5-230M, it’s the company’s smallest model to date. The release targets a specific job: running agentic tasks on phones, robots, and automation devices. Both the base and instruction-tuned checkpoints are open-weight on Hugging Face.
The pitch is narrow on purpose. This is not a general reasoning model. It is built for data extraction and tool use on edge hardware.
TL;DR
Liquid AI’s LFM2.5-230M is its smallest model yet: 230M params, open-weight, built on LFM2.
Runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42 on a Raspberry Pi 5.
