LFM2.5-24B-A2B: Built for fast on-device agents

Liquid AI has announced the release of LFM2.5-24B-A2B, a new language model designed for fast on-device agents. The model is based on the LFM2 architecture and has 24 billion parameters. It is optimized for fast and efficient inference, making it suitable for applications that require real-time processing. The model is particularly well-suited for on-device agents, such as chatbots, virtual assistants, and other AI-powered applications.