Can I Run Ministral on Mac Studio (M3 Ultra, 256 GB)?
Written by Jakub Rusinowski · Last updated October 16, 2024
Yes — comfortably
Yes, comfortably — Ministral 8B at Q8_0 needs about 10.5 GB of the 192 GB usable on Mac Studio (M3 Ultra, 256 GB), leaving ~181.5 GB spare and running at ~42.9 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~42.9 tok/s
See what else this hardware can run →
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
Mac Studio (M3 Ultra, 256 GB) — what it gives a model
| Usable memory for models | 192 GB |
| Memory bandwidth | 819 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Ministral on Mac Studio (M3 Ultra, 256 GB): memory by quantization
| Quant | Memory needed | Fits 192 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 18 GB | ✓ Yes | 32K | ~25 tok/s | 16 GB |
| Q8_0 | 10.5 GB | ✓ Yes | 32K | ~42.9 tok/s | 8.5 GB |
| Q6_K | 8.6 GB | ✓ Yes | 32K | ~52.6 tok/s | 6.6 GB |
| Q5_K_M | 7.7 GB | ✓ Yes | 32K | ~58.8 tok/s | 5.7 GB |
| Q4_K_M | 6.9 GB | ✓ Yes | 32K | ~66.1 tok/s | 4.8 GB |
| Q3_K_M | 5.4 GB | ✓ Yes | 32K | ~83.6 tok/s | 3.4 GB |
| Q2_K | 4.6 GB | ✓ Yes | 32K | ~97.9 tok/s | 2.6 GB |
Which Ministral sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Ministral 8B | 6.9 GB | ✓ Fits | ~66.1 tok/s |
| Ministral 3B | 3.8 GB | ✓ Fits | ~113.5 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 M3 Ultra 256 GB limitations
- The largest single-box unified memory pool available, but at roughly half the memory bandwidth of a high-end discrete GPU — very large models load, then run slowly.
- 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.
- 256 GB unified memory at 819 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 Ministral on Mac Studio (M3 Ultra, 256 GB)?
Yes, comfortably — Ministral 8B at Q8_0 needs about 10.5 GB of the 192 GB usable on Mac Studio (M3 Ultra, 256 GB), leaving ~181.5 GB spare and running at ~42.9 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of Ministral should I use on Mac Studio (M3 Ultra, 256 GB)?
Q8_0 — it needs about 10.5 GB of the 192 GB available, downloads as roughly 8.5 GB, and runs at an estimated 42.9 tokens/sec with up to 32K of context.
What limits Ministral on Mac Studio (M3 Ultra, 256 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 (M3 Ultra, 256 GB)
- Ministral 3 on Mac Studio (M3 Ultra, 256 GB)
- Mistral Family on Mac Studio (M3 Ultra, 256 GB)
- Mistral Small 3.1 on Mac Studio (M3 Ultra, 256 GB)
- Mistral Small 3.2 on Mac Studio (M3 Ultra, 256 GB)
- Mistral Small 4 on Mac Studio (M3 Ultra, 256 GB)
Ministral on GPUs
- Ministral on NVIDIA GeForce RTX 5070
- Ministral on NVIDIA GeForce RTX 5060 Ti 8GB
- Ministral on NVIDIA GeForce RTX 5060
- Ministral on NVIDIA GeForce RTX 4070 Ti
What This Model Is Good At
Model & Tools
← Can I Run It? | Ministral model page | Check your hardware