Show HN: Local LLM on a Pi 4 controlling hardware via tool calling (github.com)

A new project allows users to convert a Raspberry Pi 4 into a secure local LLM server powered by PrismML's Bonsai models, which utilize innovative 1-bit quantization. This setup facilitates a user-friendly chat experience accessible from any device on the same network, with model selections between Bonsai 4B (0.57GB) for quality and Bonsai 1.7B (0.25GB) for speed. By employing a built-in web UI, users can switch models seamlessly while ensuring efficient RAM usage—only the active model occupies memory, utilizing about 0.3-0.6GB. This development is significant for the AI/ML community because it democratizes access to powerful language models on affordable hardware, enabling hobbyists and educators to explore AI applications without the constraints of high-resource environments. Additionally, the system can interface with physical hardware like displays and LEDs via tool calling, allowing real-time interaction by simple commands. With security features like HTTPS and SSH, this project portends a shift towards local AI solutions that prioritize user privacy and control, making it a compelling resource for both enthusiasts and learners in the AI space.