How to Run Llama 3 Locally on M1 Mac: Step-by-Step Guide
Why Running Llama 3 Locally on a Mac Actually Makes Sense Now Eighteen months ago, running a serious large language model on a laptop was either a novelty or an exercise in patience. You’d wait ten seconds per token, watch your fans scream, and ultimately give up and go back to an API. That era is over for Apple Silicon owners. Meta’s Llama 3 family — released under a permissive license that covers most commercial use — runs surprisingly well on M1, M2, and M3 Macs thanks to the unified memory architecture that lets the GPU and CPU share the same RAM pool. Combined with mature tooling like Ollama and llama.cpp, you can go from zero to a working local chatbot in under ten minutes without touching a cloud API, paying per token, or sending a single prompt to someone else’s server. ...