Model4h ago
LFM2.5-2.6B Brings Local Agentic Power
A 2.6 billion parameter size allows LFM2.5 to run locally on consumer hardware. The model optimizes for tool-calling and agentic workflows without relying on cloud APIs. This reduces latency and costs for developers building autonomous systems. It proves that small models can handle complex logic if trained specifically for agent tasks.