Can I Run Gemma 3 on Mac Studio (M4 Max, 64 GB)?
Written by Jakub Rusinowski · Last updated March 12, 2025
Yes
Yes — Gemma 3 27B Instruct at Q8_0 needs about 37.8 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB) (~10.2 GB spare), at ~8.9 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~8.9 tok/s
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Mac Studio (M4 Max, 64 GB) — what it gives a model
| Usable memory for models | 48 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Gemma 3 on Mac Studio (M4 Max, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 63.1 GB | ✗ No | — | — | 54 GB |
| Q8_0 | 37.8 GB | ✓ Yes | 16K | ~8.9 tok/s | 28.7 GB |
| Q6_K | 31.3 GB | ✓ Yes | 16K | ~11 tok/s | 22.1 GB |
| Q5_K_M | 28.3 GB | ✓ Yes | 16K | ~12.4 tok/s | 19.1 GB |
| Q4_K_M | 25.4 GB | ✓ Yes | 16K | ~14 tok/s | 16.3 GB |
| Q3_K_M | 20.6 GB | ✓ Yes | 32K | ~18.1 tok/s | 11.5 GB |
| Q2_K | 18 GB | ✓ Yes | 32K | ~21.5 tok/s | 8.9 GB |
Which Gemma 3 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 25.4 GB | ✓ Fits | ~14 tok/s |
| Gemma 3 12B Instruct | 11.1 GB | ✓ Fits | ~30.9 tok/s |
| Gemma 3 4B Instruct | 4.4 GB | ✓ Fits | ~77.1 tok/s |
| Gemma 3 1B Instruct | 2 GB | ✓ Fits | ~165.9 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 Studio M4 Max 64 GB limitations
- Memory is soldered; the configuration chosen at purchase is permanent.
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 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.
FAQ
Can I run Gemma 3 on Mac Studio (M4 Max, 64 GB)?
Yes — Gemma 3 27B Instruct at Q8_0 needs about 37.8 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB) (~10.2 GB spare), at ~8.9 tok/s (estimated), with room for about 16,384 tokens of context.
Which quantization of Gemma 3 should I use on Mac Studio (M4 Max, 64 GB)?
Q8_0 — it needs about 37.8 GB of the 48 GB available, downloads as roughly 28.7 GB, and runs at an estimated 8.9 tokens/sec with up to 16K of context.
What limits Gemma 3 on Mac Studio (M4 Max, 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 Studio (M4 Max, 64 GB)
- Gemma 3n on Mac Studio (M4 Max, 64 GB)
- Gemma 4 on Mac Studio (M4 Max, 64 GB)
- GLM-4.7 / GLM-Z1 on Mac Studio (M4 Max, 64 GB)
- GLM-5 / GLM-5.1 on Mac Studio (M4 Max, 64 GB)
- GLM-6 on Mac Studio (M4 Max, 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