Try LFM • Docs • LEAP • Discord LFM2 350M LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. We're releasing the weights of four post trained checkpoints with 350M, 700M, 1.2B, and 2.6B parameters. They provide the following key features to create AI powered edge applications: Fast training & inference – LFM2 achieves 3x faster training compared to its previous generation. It also benefits from 2x faster decode and prefill speed on CPU compared to Qwen3. Best performance – LFM2 outperforms similarly sized models across multiple benchmark categories, including knowledge, mathematics, instruction following, and multilingual capabilities. New architecture – LFM2 is a new hybrid Liquid model with multiplicative gates and short convolutions. Flexible deployment – LFM2 runs efficiently on CPU, GPU, and NPU hardware for flexible deployment on smartphones, laptops, or vehicles. Find more information about LFM2 in our blog post. 📄 Model details Due to their small size, we recommend fine tuning LFM2 models on narrow use cases to maximize perfor…
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