No cloud, no GPUs, no problem: Liquid AI's new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

The useful part

Earlier this week, the AI startup Liquid, formed in 2023 by former MIT computer scientists, debuted LFM2.5-2.6B, a new open-weight language model designed specifically for agentic workloads. Even for those businesses without such concerns, the appeal of running performant, task-specific agents at the cost of essentially electricity, may be enough to make the new model quite appealing. The custom open weights license, as with Moonshot's larger frontier model Kimi K3 released last month, is worth a close look by enterprise legal teams.

How it works

• It's best suited for high-volume, well-defined agentic tasks that run locally — tool calling, document management, calendar and workflow automation, and always-on background routines — and for...
• The basics LFM2.5-2.6B contains 2.6 billion parameters, supports a 128,000-token context window, and includes native tool calling.
• The somewhat tricky name is explained by the generation of model (2.5) combined with the parameter count (2.6B).
• Both the post-trained model and a base checkpoint (LFM2.5-2.6B-Base) for developers who want to fine-tune it are available now on Hugging Face, with day-one support for major inferen...