Liquid AI Releases LFM2.5-350M: A Compact 350M Parametric Model Trained on 28T Tokens with Trimmed Reinforcement Learning
In the current state of productive AI, ‘scaling laws’ have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence density with more pre-training (from 10T to 28T tokens) and massive reinforcement learning. The importance … Read more