Complete Guide to Running Llama Locally in 20 Minutes
thisdudelikesAI · x · 2026-07-07
The author shares a complete guide for running Llama locally, highlighting benefits like requiring no API keys, having zero rate limits, and keeping data entirely offline.
Steps include:
1) Installing Ollama with a single command (takes 2 minutes via curl script for Mac/Linux or a standalone installer for Windows).
2) Choosing model size based on available RAM rather than hype (a Q4 quantized 7-8B model needs about 5-6GB, while full precision requires 14GB; most laptops can comfortably run quantized versions).
3) Pulling and running the model via ollama pull llama3.3:8b (a 4.9GB download).
Performance sits around 2-8 tokens/second on a pure CPU, but speeds up drastically with GPU acceleration (NVIDIA/AMD/Apple Silicon unified memory). Once set up, users can interact directly in the terminal without needing a browser, account, or internet connection.
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