Self-Hosting AI Models on a Raspberry Pi 5: A Complete Guide to Free, Private, Local AI Inference

Short summary

A practical guide to running quantized LLMs on a Raspberry Pi 5 (8GB) using Ollama, eliminating API costs and keeping all data local. The author benchmarks five models (Qwen2.5-0.5B through Llama 3.1-8B) on tokens/sec and RAM usage, recommending Llama 3.2-3B as the sweet spot for daily use. Hardware requirements include NVMe SSD (not SD card), active cooling, and the 27W power supply.

• •Raspberry Pi 5 8GB can run quantized LLMs locally via Ollama with zero API costs
• •Llama 3.2-3B is the best balance of speed and quality at 12-15 tokens/sec
• •NVMe SSD and active cooling are essential; SD card storage is too slow and wears out

Generated with AI, which can make mistakes.