BeginnerMac / Apple 6 min read

Mac M3 Max: The Ultimate Local LLM Setup

Maximise your Apple Silicon with Ollama. Run multiple models, set up an OpenAI-compatible API, and tune Metal GPU layers.

Verified stack

macOS 14+ · Apple Silicon · Ollama 0.6+ · Metal · Qwen3-8B / Llama 3.1 8B Q4

Last verified 2026-07-22

OllamaMacApple SiliconMetalGGUF

Install Ollama

One command install. Ollama automatically detects your Apple Silicon and uses Metal GPU acceleration.

bash

curl -fsSL https://ollama.com/install.sh | sh

Pull and run a model

Ollama defaults to Q4_K_M GGUF which is ideal for most use cases. Prefer Qwen3 8B when available for stronger reasoning.

bash

# Pull Llama 3.1 8B (default Q4_K_M, ~5.7 GB)
ollama pull llama3.1:8b

# Stronger 2026 default for multilingual + thinking:
# ollama pull qwen3:8b

# Or Qwen2.5 7B
ollama pull qwen2.5:7b

# Run interactively
ollama run llama3.1:8b

OpenAI-compatible API

Ollama exposes an OpenAI-compatible API at port 11434 — drop-in replacement for any app using OpenAI SDK.

bash

curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"llama3.1:8b","messages":[{"role":"user","content":"Hello!"}]}'

Related guides

BeginnerMac / Apple6 min read

Mac M3 Pro: Realistic Model Limits

What actually fits in 18GB or 36GB unified memory with Ollama and llama.cpp.

BeginnerMac / Apple7 min read

M1 / M2 Mac 8GB: Realistic Ollama Limits

Unified memory is shared with macOS — here is what actually works on base MacBooks without swapping.

BeginnerDocker5 min read

Docker Compose LLM Stack: Ollama + Open WebUI

A production-ready Docker Compose stack that gives you a local ChatGPT experience with one command.

Deployment guides are educational. Each model is subject to its own license — read the official Hugging Face model card before downloading or deploying.