Can I Run Command R Family on Mac mini (M4 Pro, 64 GB)?
Written by Jakub Rusinowski · Last updated April 4, 2024
Yes — comfortably
Yes, comfortably — Command R (35B) at Q4_K_M needs about 32.7 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~15.3 GB spare and running at ~5.6 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q4_K_M · Estimated speed: ~5.6 tok/s
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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 |
Command R Family on Mac mini (M4 Pro, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 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 | ✓ Yes | 8K | ~4.3 tok/s | 28.7 GB |
| Q5_K_M | 36.3 GB | ✓ Yes | 16K | ~4.9 tok/s | 24.8 GB |
| Q4_K_M | 32.7 GB | ✓ Yes | 16K | ~5.6 tok/s | 21.1 GB |
| Q3_K_M | 26.5 GB | ✓ Yes | 16K | ~7.2 tok/s | 14.9 GB |
| Q2_K | 23 GB | ✓ Yes | 16K | ~8.6 tok/s | 11.5 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 | ~5.6 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.
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 Command R Family on Mac mini (M4 Pro, 64 GB)?
Yes, comfortably — Command R (35B) at Q4_K_M needs about 32.7 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~15.3 GB spare and running at ~5.6 tok/s (estimated), with room for about 16,384 tokens of context.
Which quantization of Command R Family should I use on Mac mini (M4 Pro, 64 GB)?
Q4_K_M — it needs about 32.7 GB of the 48 GB available, downloads as roughly 21.1 GB, and runs at an estimated 5.6 tokens/sec with up to 16K of context.
What limits Command R 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 Models on Mac mini (M4 Pro, 64 GB)
- Cosmos 3 on Mac mini (M4 Pro, 64 GB)
- DeepSeek-OCR on Mac mini (M4 Pro, 64 GB)
- DeepSeek R1 on Mac mini (M4 Pro, 64 GB)
- Devstral on Mac mini (M4 Pro, 64 GB)
- EXAONE 3.5 on Mac mini (M4 Pro, 64 GB)
Command R Family on GPUs
- Command R Family on NVIDIA GeForce RTX 5090
- Command R Family on NVIDIA GeForce RTX 5080
- Command R Family on NVIDIA GeForce RTX 5070 Ti
- Command R Family on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
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