Can I Run Gemma 3 on Mac mini (M4 Pro, 64 GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 marca 2025
Yes — comfortably
Yes, comfortably — Gemma 3 27B Instruct at Q8_0 needs about 30.8 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~17.2 GB spare and running at ~5 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~5 tok/s
See what else this hardware can run →
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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 |
Gemma 3 on Mac mini (M4 Pro, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 56.1 GB | ✗ No | — | — | 54 GB |
| Q8_0 | 30.8 GB | ✓ Yes | 128K | ~5 tok/s | 28.7 GB |
| Q6_K | 24.3 GB | ✓ Yes | 128K | ~6.3 tok/s | 22.1 GB |
| Q5_K_M | 21.3 GB | ✓ Yes | 128K | ~7.3 tok/s | 19.1 GB |
| Q4_K_M | 18.4 GB | ✓ Yes | 128K | ~8.4 tok/s | 16.3 GB |
| Q3_K_M | 13.6 GB | ✓ Yes | 128K | ~11.6 tok/s | 11.5 GB |
| Q2_K | 11 GB | ✓ Yes | 128K | ~14.5 tok/s | 8.9 GB |
Which Gemma 3 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 18.4 GB | ✓ Fits | ~8.4 tok/s |
| Gemma 3 12B Instruct | 9.1 GB | ✓ Fits | ~17.7 tok/s |
| Gemma 3 4B Instruct | 3.6 GB | ✓ Fits | ~47.8 tok/s |
| Gemma 3 1B Instruct | 1.5 GB | ✓ Fits | ~137 tok/s |
What to watch out for
- 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 Gemma 3 on Mac mini (M4 Pro, 64 GB)?
Yes, comfortably — Gemma 3 27B Instruct at Q8_0 needs about 30.8 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~17.2 GB spare and running at ~5 tok/s (estimated), with room for about 131,072 tokens of context.
Which quantization of Gemma 3 should I use on Mac mini (M4 Pro, 64 GB)?
Q8_0 — it needs about 30.8 GB of the 48 GB available, downloads as roughly 28.7 GB, and runs at an estimated 5 tokens/sec with up to 128K of context.
What limits Gemma 3 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
Other Models on Mac mini (M4 Pro, 64 GB)
- Gemma 3n on Mac mini (M4 Pro, 64 GB)
- Gemma 4 on Mac mini (M4 Pro, 64 GB)
- GLM-4.7 / GLM-Z1 on Mac mini (M4 Pro, 64 GB)
- GLM-5 / GLM-5.1 on Mac mini (M4 Pro, 64 GB)
- GPT-OSS on Mac mini (M4 Pro, 64 GB)
Gemma 3 on GPUs
- Gemma 3 on NVIDIA GeForce RTX 5090
- Gemma 3 on NVIDIA GeForce RTX 5080
- Gemma 3 on NVIDIA GeForce RTX 5070 Ti
- Gemma 3 on NVIDIA GeForce RTX 5070