Can I Run GLM-4.7 / GLM-Z1 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

GLM-4.7 / GLM-Z1 on Mac mini (M4 Pro, 64 GB): memory by quantization

Quant	Memory needed	Fits 48 GB?	Max context	Est. speed	Download
F16	66.6 GB	✗ No	—	—	64 GB
Q8_0	36.6 GB	✓ Yes	32K	~4.2 tok/s	34 GB
Q6_K	28.9 GB	✓ Yes	64K	~5.4 tok/s	26.2 GB
Q5_K_M	25.3 GB	✓ Yes	64K	~6.2 tok/s	22.7 GB
Q4_K_M	22 GB	✓ Yes	64K	~7.2 tok/s	19.3 GB
Q3_K_M	16.3 GB	✓ Yes	64K	~10 tok/s	13.6 GB
Q2_K	13.2 GB	✓ Yes	64K	~12.6 tok/s	10.5 GB

Which GLM-4.7 / GLM-Z1 sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
GLM-Z1 32B (Reasoning)	22 GB	✓ Fits	~7.2 tok/s
GLM-4.7-Flash 30B-A3B	20.7 GB	✓ Fits	~47.5 tok/s
GLM-4.7 9B	7.4 GB	✓ Fits	~23.1 tok/s

What to watch out for

• This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
• 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 inferred from the parameter count because this model does not publish its full attention configuration.

FAQ

Can I run GLM-4.7 / GLM-Z1 on Mac mini (M4 Pro, 64 GB)?

Yes, comfortably — GLM-Z1 32B (Reasoning) at Q6_K needs about 28.9 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~19.1 GB spare and running at ~5.4 tok/s (estimated), with room for about 65,536 tokens of context.

Which quantization of GLM-4.7 / GLM-Z1 should I use on Mac mini (M4 Pro, 64 GB)?

Q6_K — it needs about 28.9 GB of the 48 GB available, downloads as roughly 26.2 GB, and runs at an estimated 5.4 tokens/sec with up to 64K of context.

What limits GLM-4.7 / GLM-Z1 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

• GLM-4.7 / GLM-Z1 on Mac mini M4 16 GB
• GLM-4.7 / GLM-Z1 on Framework Desktop 128 GB
• GLM-4.7 / GLM-Z1 on Beelink SER9 32 GB

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

• GLM-5 / GLM-5.1 on Mac mini (M4 Pro, 64 GB)
• GLM-6 on Mac mini (M4 Pro, 64 GB)
• GPT-OSS on Mac mini (M4 Pro, 64 GB)
• Granite 3.0 on Mac mini (M4 Pro, 64 GB)
• IBM Granite 4.0 on Mac mini (M4 Pro, 64 GB)

GLM-4.7 / GLM-Z1 on GPUs

• GLM-4.7 / GLM-Z1 on NVIDIA GeForce RTX 5090
• GLM-4.7 / GLM-Z1 on NVIDIA GeForce RTX 5070
• GLM-4.7 / GLM-Z1 on NVIDIA GeForce RTX 5060 Ti 8GB
• GLM-4.7 / GLM-Z1 on NVIDIA GeForce RTX 5060

What This Model Is Good At

• Best local LLMs for reasoning
• Best local LLMs for research
• Best local LLMs for mathematics

Model & Tools

• GLM-4.7 / GLM-Z1 model page
• VRAM calculator
• Check your own hardware

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