LFM2.5

Liquid AI

LFM2.5-1.2B-Instruct is a lightweight, efficient instruction-tuned model from Liquid AI's Liquid Foundation Model series. With only 1.2 billion parameters, it is optimized for fast inference and low-cost deployment, making it suitable for edge devices and applications requiring rapid response times.

Liquid AI

LFM2.5-1.2B-Thinking is a compact, 1.2-billion parameter language model from Liquid AI, optimized for reasoning and thinking tasks. It is designed to deliver strong logical and analytical performance within a small, efficient footprint.

Liquid AI

LFM2.5-VL-1.6B is a compact, 1.6-billion parameter vision-language model from Liquid AI's Liquid Foundation Model (LFM) series. It is designed for efficient multimodal understanding, processing both text and images, and is optimized for fast inference and low-cost deployment.