Can I Run MiniMax M2.7 on MacBook Pro 16" (M5 Max, 128 GB)?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes
Yes — MiniMax M2.7 230B-A10B at Q2_K needs about 79.9 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB) (~16.1 GB spare), at ~55.5 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: medium · Recommended quantization: Q2_K · Estimated speed: ~55.5 tok/s
MacBook Pro 16" (M5 Max, 128 GB) — what it gives a model
| Usable memory for models | 96 GB |
| Memory bandwidth | 614 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
MiniMax M2.7 on MacBook Pro 16" (M5 Max, 128 GB): memory by quantization
| Quant | Memory needed | Fits 96 GB? | Max context | Est. speed | Download |
|---|
| F16 | 464.3 GB | ✗ No | — | — | 460 GB |
| Q8_0 | 248.7 GB | ✗ No | — | — | 244.4 GB |
| Q6_K | 192.9 GB | ✗ No | — | — | 188.6 GB |
| Q5_K_M | 167.3 GB | ✗ No | — | — | 163 GB |
| Q4_K_M | 143.2 GB | ✗ No | — | — | 138.9 GB |
| Q3_K_M | 102.4 GB | ✗ No | — | — | 98 GB |
| Q2_K | 79.9 GB | ✓ Yes | 32K | ~55.5 tok/s | 75.6 GB |
What to watch out for
- Q2_K is the only quantization that fits, and it is a heavily degraded one — expect noticeably worse output than the same model at Q4_K_M. A smaller model at Q4 is usually the better trade.
- 1 larger variant of MiniMax M2.7 does not fit and would need CPU offload or different hardware.
- 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.
MacBook Pro M5 Max 128 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
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.
- 128 GB unified memory at 614 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 MiniMax M2.7 on MacBook Pro 16" (M5 Max, 128 GB)?
Yes — MiniMax M2.7 230B-A10B at Q2_K needs about 79.9 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB) (~16.1 GB spare), at ~55.5 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of MiniMax M2.7 should I use on MacBook Pro 16" (M5 Max, 128 GB)?
Q2_K — it needs about 79.9 GB of the 96 GB available, downloads as roughly 75.6 GB, and runs at an estimated 55.5 tokens/sec with up to 32K of context.
What limits MiniMax M2.7 on MacBook Pro 16" (M5 Max, 128 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 MacBook Pro 16" (M5 Max, 128 GB)
MiniMax M2.7 on GPUs
What This Model Is Good At
Model & Tools
← Can I Run It? | MiniMax M2.7 model page | Check your hardware