Can I Run Command R Family on MacBook Pro 16" (M4 Max, 48 GB)?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 4 kwietnia 2024

Yes, but it is tight

Yes, but it is tight — Command R (35B) at Q4_K_M needs about 32.7 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving only ~3.3 GB before the runtime starts swapping. Expect ~10.9 tok/s (estimated), with room for about 8,192 tokens of context.

Confidence: medium · Recommended quantization: Q4_K_M · Estimated speed: ~10.9 tok/s

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MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model

Usable memory for models	36 GB
Memory bandwidth	546 GB/s
Form factor	Laptop
Operating system	macOS
Memory upgradeable	No — soldered
Price	$3,999 (lib/data/laptops.ts (street price), checked 2026-07-06)

Command R Family on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization

Quant	Memory needed	Fits 36 GB?	Max context	Est. speed	Download
F16	81.5 GB	✗ No	—	—	70 GB
Q8_0	48.7 GB	✗ No	—	—	37.2 GB
Q6_K	40.2 GB	✗ No	—	—	28.7 GB
Q5_K_M	36.3 GB	✗ No	—	—	24.8 GB
Q4_K_M	32.7 GB	✓ Yes	8K	~10.9 tok/s	21.1 GB
Q3_K_M	26.5 GB	✓ Yes	8K	~14.1 tok/s	14.9 GB
Q2_K	23 GB	✓ Yes	16K	~16.8 tok/s	11.5 GB

Newer alternative. Cohere has not released a newer model in this library. If you are choosing today, Mistral Small 4 is a comparable current option. Mistral Small 4 needs at least 75.5 GB at Q4_K_M with an 8K context, so it does not fit the MacBook Pro 16" (M4 Max, 48 GB).

Which Command R Family sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
Command R+ (104B)	65.7 GB	✗ Too large	—
Command R (35B)	32.7 GB	✓ Fits	~10.9 tok/s

What to watch out for

1 larger variant of Command R 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.

MacBook Pro M4 Max 48 GB limitations

Unified memory is soldered and cannot be upgraded after purchase.
macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.

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.
48 GB unified memory at 546 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.

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