Can I Run Llama 3.2 Family on Mac mini (M4 Pro, 64 GB)?

Written by Jakub Rusinowski · Last updated August 15, 2026

Mac mini (M4 Pro, 64 GB) — what it gives a model

Usable memory for models	48 GB
Memory bandwidth	273 GB/s
Form factor	Mini PC
Operating system	macOS
Memory upgradeable	No — soldered

Llama 3.2 Family on Mac mini (M4 Pro, 64 GB): memory by quantization

Quant	Memory needed	Fits 48 GB?	Max context	Est. speed	Download
F16	23.3 GB	✓ Yes	64K	~6.7 tok/s	21.2 GB
Q8_0	13.4 GB	✓ Yes	64K	~12.1 tok/s	11.3 GB
Q6_K	10.8 GB	✓ Yes	64K	~15.2 tok/s	8.7 GB
Q5_K_M	9.7 GB	✓ Yes	64K	~17.3 tok/s	7.5 GB
Q4_K_M	8.5 GB	✓ Yes	64K	~19.9 tok/s	6.4 GB
Q3_K_M	6.7 GB	✓ Yes	64K	~26.5 tok/s	4.5 GB
Q2_K	5.6 GB	✓ Yes	64K	~32.5 tok/s	3.5 GB

Which Llama 3.2 Family sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
Llama 3.2 90B Vision Instruct	57.8 GB	✗ Too large	—
Llama 3.2 11B Vision Instruct	8.5 GB	✓ Fits	~19.9 tok/s
Llama 3.2 3B Instruct	3.7 GB	✓ Fits	~52.4 tok/s
Llama 3.2 1B Instruct	1.8 GB	✓ Fits	~112.4 tok/s

What to watch out for

• 1 larger variant of Llama 3.2 Family does not fit and would need CPU offload or different hardware.
• Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.

Mac mini M4 Pro 64 GB limitations

• M4 Pro memory bandwidth is half the M4 Max's, so large models that fit will still generate roughly half as fast.

Recommended setup

Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput

How these numbers are calculated

• Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
• 64 GB unified memory at 273 GB/s, shared between CPU and GPU.
• macOS reserves a share of unified memory for the system, so not all of it is available to a model.
• Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
• KV cache is computed from this model's published attention configuration.

FAQ

Can I run Llama 3.2 Family on Mac mini (M4 Pro, 64 GB)?

Yes, comfortably — Llama 3.2 11B Vision Instruct at Q8_0 needs about 13.4 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~34.6 GB spare and running at ~12.1 tok/s (estimated), with room for about 65,536 tokens of context.

Which quantization of Llama 3.2 Family should I use on Mac mini (M4 Pro, 64 GB)?

Q8_0 — it needs about 13.4 GB of the 48 GB available, downloads as roughly 11.3 GB, and runs at an estimated 12.1 tokens/sec with up to 64K of context.

What limits Llama 3.2 Family on Mac mini (M4 Pro, 64 GB)?

Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.

Which runtime should I use?

Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput

Other Computers

• Llama 3.2 Family on Mac mini M4 16 GB
• Llama 3.2 Family on Framework Desktop 128 GB
• Llama 3.2 Family on Beelink SER9 32 GB

Other Models on Mac mini (M4 Pro, 64 GB)

• Llama 3.2 Vision on Mac mini (M4 Pro, 64 GB)
• Llama 3.3 on Mac mini (M4 Pro, 64 GB)
• Llama 4 on Mac mini (M4 Pro, 64 GB)
• Llama 4.5 on Mac mini (M4 Pro, 64 GB)
• Ministral on Mac mini (M4 Pro, 64 GB)

Llama 3.2 Family on GPUs

• Llama 3.2 Family on NVIDIA GeForce RTX 5070
• Llama 3.2 Family on NVIDIA GeForce RTX 5060 Ti 8GB
• Llama 3.2 Family on NVIDIA GeForce RTX 5060
• Llama 3.2 Family on NVIDIA GeForce RTX 4070 Ti

What This Model Is Good At

• Best local LLMs for general assistant
• Best local LLMs for rag
• Best local LLMs for writing

Model & Tools

• Llama 3.2 Family model page
• VRAM calculator
• Check your own hardware

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