NeuroLite

This whitepaper proposes NeuroLite, an innovative framework for reengineering, compressing, and recompiling large-scale language models (LLMs) such as LLaMA, Mistral, and GPT, aiming to make them operational in hardware-constrained environments without significant performance loss. The initiative aims to break with the vertical scaling trend of LLMs and offer a viable alternative for efficient execution of AI models on edge and low-power devices.