Running LLMs on Raspberry Pi and Edge Devices

Raspberry Pi 5 with 8GB RAM can now run small language models locally at 10-18 tokens per second using Llama.cpp and GGUF-quantized models, eliminating cloud costs and network dependencies for AI applications. The setup involves building Llama.cpp from source with ARM optimizations, downloading 1-3B parameter models, and exposing an OpenAI-compatible API for integration with IoT devices and smart home systems.