Deploy local agents everywhere with LFM2.5-2.6B

За 30 секунд

Что произошло

Liquid AI released LFM2.5-2.6B, a 2.6 billion parameter model designed to run AI agents locally on devices like laptops and phones with tool calling and multi-step workflows.

Почему это важно

Developers building on-device applications need efficient agentic models that avoid cloud inference costs while keeping user data private on personal hardware.

На что обратить внимание

The model excels at instruction following and tool use but lags larger models on coding tasks. Performance depends heavily on hardware; CPU speeds range from 30 tokens per second on phones to 220 on M5 Max.