The October 7, 2025 technical release by Liquid AI introducing their new model, LFM2-8B-A1B, an on-device Mixture-of-Experts (MoE) designed for efficiency on consumer hardware. This model boasts 8.3 billion total parameters but only uses 1.5 billion active parameters per token, allowing it to achieve larger model quality with significantly reduced compute requirements. The document highlights the model's superior quality and speed compared to similar-sized dense models, detailing its architecture which is optimized for low-latency and energy consumption on devices like phones and laptops. Furthermore, the text presents extensive evaluation benchmarks across knowledge, instruction following, math, and coding tasks, demonstrating strong performance and outlining the customized inference stacks developed for both CPU and GPU to maximize the model’s efficiency. Source: https://www.liquid.ai/blog/lfm2-8b-a1b-an-efficient-on-device-mixture-of-experts