Can I Run Devstral on MacBook Pro 16" (M4 Max, 128 GB)?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026

Yes — comfortably

Yes, comfortably — Devstral-2 123B at Q3_K_M needs about 56.1 GB of the 96 GB usable on MacBook Pro 16" (M4 Max, 128 GB), leaving ~39.9 GB spare and running at ~5.5 tok/s (estimated), with room for about 65,536 tokens of context.

Confidence: medium · Recommended quantization: Q3_K_M · Estimated speed: ~5.5 tok/s

See what else this hardware can run →

Kup ten sprzęt Apple MacBook Pro M5 Max — 128 GB unified memory · 614 GB/sUruchom w chmurze NVIDIA A100 80GB w RunPod — od $1.39/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.77/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

MacBook Pro 16" (M4 Max, 128 GB) — what it gives a model

Usable memory for models96 GB
Memory bandwidth546 GB/s
Form factorLaptop
Operating systemmacOS
Memory upgradeableNo — soldered

Devstral on MacBook Pro 16" (M4 Max, 128 GB): memory by quantization

QuantMemory neededFits 96 GB?Max contextEst. speedDownload
F16249.7 GB✗ No——246 GB
Q8_0134.4 GB✗ No——130.7 GB
Q6_K104.5 GB✗ No——100.9 GB
Q5_K_M90.9 GB✓ Yes16K~3.3 tok/s87.2 GB
Q4_K_M77.9 GB✓ Yes32K~3.9 tok/s74.3 GB
Q3_K_M56.1 GB✓ Yes64K~5.5 tok/s52.4 GB
Q2_K44.1 GB✓ Yes128K~7 tok/s40.4 GB

Which Devstral sizes fit

VariantNeeds at Q4_K_MFits?Est. speed
Devstral-2 123B77.9 GB✓ Fits~3.9 tok/s
Devstral Small 2505 24B16.6 GB✓ Fits~18.6 tok/s
Devstral Small 2 24B16.6 GB✓ Fits~18.6 tok/s

What to watch out for

MacBook Pro M4 Max 128 GB limitations

Recommended setup

Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput

How these numbers are calculated

FAQ

Can I run Devstral on MacBook Pro 16" (M4 Max, 128 GB)?

Yes, comfortably — Devstral-2 123B at Q3_K_M needs about 56.1 GB of the 96 GB usable on MacBook Pro 16" (M4 Max, 128 GB), leaving ~39.9 GB spare and running at ~5.5 tok/s (estimated), with room for about 65,536 tokens of context.

Which quantization of Devstral should I use on MacBook Pro 16" (M4 Max, 128 GB)?

Q3_K_M — it needs about 56.1 GB of the 96 GB available, downloads as roughly 52.4 GB, and runs at an estimated 5.5 tokens/sec with up to 64K of context.

What limits Devstral on MacBook Pro 16" (M4 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" (M4 Max, 128 GB)

Devstral on GPUs

What This Model Is Good At

Model & Tools

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