Can I Run Nex-N2.5 on Mac mini (M4 Pro, 64 GB)?
Written by Jakub Rusinowski · Last updated September 8, 2026
Yes
Yes — Nex-N2.5 mini at Q8_0 needs about 39.9 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB) (~8.1 GB spare), at ~32.7 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~32.7 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 |
Nex-N2.5 on Mac mini (M4 Pro, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 72.7 GB | ✗ No | — | — | 70 GB |
| Q8_0 | 39.9 GB | ✓ Yes | 32K | ~32.7 tok/s | 37.2 GB |
| Q6_K | 31.4 GB | ✓ Yes | 64K | ~38.9 tok/s | 28.7 GB |
| Q5_K_M | 27.5 GB | ✓ Yes | 64K | ~42.6 tok/s | 24.8 GB |
| Q4_K_M | 23.8 GB | ✓ Yes | 64K | ~46.8 tok/s | 21.1 GB |
| Q3_K_M | 17.6 GB | ✓ Yes | 128K | ~56.1 tok/s | 14.9 GB |
| Q2_K | 14.2 GB | ✓ Yes | 128K | ~63 tok/s | 11.5 GB |
Which Nex-N2.5 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Nex-N2.5 Max | 967.4 GB | ✗ Too large | — |
| Nex-N2.5 Pro | 244.7 GB | ✗ Too large | — |
| Nex-N2.5 mini | 23.8 GB | ✓ Fits | ~46.8 tok/s |
What to watch out for
- 2 larger variants of Nex-N2.5 do 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.
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 inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run Nex-N2.5 on Mac mini (M4 Pro, 64 GB)?
Yes — Nex-N2.5 mini at Q8_0 needs about 39.9 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB) (~8.1 GB spare), at ~32.7 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of Nex-N2.5 should I use on Mac mini (M4 Pro, 64 GB)?
Q8_0 — it needs about 39.9 GB of the 48 GB available, downloads as roughly 37.2 GB, and runs at an estimated 32.7 tokens/sec with up to 32K of context.
What limits Nex-N2.5 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)
- North Mini Code on Mac mini (M4 Pro, 64 GB)
- OLMo 2 on Mac mini (M4 Pro, 64 GB)
- Phi 3.5 Family on Mac mini (M4 Pro, 64 GB)
- Phi-4 Family on Mac mini (M4 Pro, 64 GB)
- Phi-4 Mini on Mac mini (M4 Pro, 64 GB)
Nex-N2.5 on GPUs
- Nex-N2.5 on NVIDIA GeForce RTX 5090
- Nex-N2.5 on NVIDIA GeForce RTX 5080
- Nex-N2.5 on NVIDIA GeForce RTX 5070 Ti
- Nex-N2.5 on NVIDIA GeForce RTX 5070