Run LLMs Locally on a Mac (M1–M5, 2026 Guide)
Unified memory changes the rules: which models fit your Mac's RAM, MLX vs Ollama vs llama.cpp, and how the browser detector reads your Apple Silicon chip.
Run LLMs Locally on a Mac (M1–M5, 2026 Guide)
Apple Silicon is the easiest place to run local models: no driver setup, quiet hardware, and unified memory — the GPU and CPU share one pool, so a 64 GB Mac can load models that need a $5,000+ GPU rig.
What your Mac can actually run
Rule of thumb for unified memory: keep weights under ~60% of RAM for comfortable use (macOS and your apps take the rest):
| RAM | Comfortable model class | Example |
|---|---|---|
| 16 GB | 4–9B, Q4 | Qwen3.5 9B Q4_K_M (~5.2 GB) |
| 24–36 GB | 12–27B, Q4 | Gemma 4 12B, Bonsai 27B |
| 48–64 GB | 30–70B, Q4 | Llama 3.3 70B Q4_K_M (~40 GB) |
| 128 GB+ | 120B+ MoE, Q3–Q4 | Qwen3.5 122B A10B, DeepSeek V4 Flash |
Bandwidth, not compute, sets your speed: an M4 Max (546 GB/s) decodes roughly twice as fast as an M3 Pro. Tokens-per-second ≈ bandwidth ÷ model size per token, and that is the number to compare with PC GPUs.
Pick an engine
| Engine | Best for | Notes |
|---|---|---|
| Ollama | Getting started | One command, manages models and server |
| MLX | Mac-native performance | Apple Silicon first, great for M-series |
| llama.cpp | Maximum control | GGUF support everywhere, fine-grained flags |
Start with Ollama:
brew install ollama
ollama pull qwen3.5:9b
ollama run qwen3.5:9b
How our detector sees your Mac
Open the homepage tool in Safari or Chrome. The browser reports your chip
through WebGPU (GPUAdapterInfo) or WebGL. On older Safari versions WebGL is
masked, so if detection fails, pick your Mac from the manual list — the
recommendations then use your exact RAM configuration.
Which Mac to buy for AI (2026)
- Value: M4 Pro 48 GB — runs 27–35B models comfortably.
- Sweet spot: M4 Max 64 GB — the best price/bandwidth for 70B-class quants.
- No: 16 GB Macs are fine for 9B but you will outgrow them in a year.
Before buying, run the self-hosting savings calculator against the models you plan to use — a Mac often beats cloud pricing within the first year at 50M+ tokens/month.
Bottom line
Mac local AI is about RAM first, bandwidth second, cores a distant third. Buy memory, then pick the largest model your budget allows — our tool will tell you exactly what fits.