Booting straight into a local LLM (no linux) on my Raspberry Pi (www.xda-developers.com)

A new project called NightRun has emerged, showcasing that local language models (LLMs) can run efficiently on limited hardware, such as an 8GB Raspberry Pi, without the need for a conventional operating system. NightRun operates directly from a USB drive, utilizing a UEFI application written in Rust that loads small models like Llama 3.2 and Qwen3 into RAM for immediate use. This innovative setup eliminates the usually necessary bootloader, init system, and network stack, allowing users to interact with the model through a pure terminal interface. Notably, its streamlined installation process addresses traditional complexities, making it accessible even for hobbyists. This development is significant for the AI/ML community as it illustrates a trend toward running powerful AI applications in compact settings, democratizing access to AI capabilities. NightRun's model options are limited by RAM constraints and are CPU-only, but they still demonstrate coherent conversation skills. This project hints at a future where AI can be effortlessly integrated into personal devices by simply plugging in a USB drive, paving the way for advancements in edge computing and smart technology. Overall, NightRun reflects the growing potential of small, efficient AIs that can perform meaningful tasks on minimal hardware.