Can I Run Codestral on Apple M4?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — Codestral 22B at Q4_K_M needs 16.1 GB at 8K context (13.4 GB weights + 2.7 GB KV cache/overhead), leaving ~7.9 GB of the Apple M4's 24 GB usable memory, at ~5 tok/s (est.), with room for up to 32K context.

See what else this hardware can run →

Kup ten sprzęt Apple Mac mini M4 (16GB) — 16 GB unified memory · 120 GB/sUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/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.

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Apple Mac mini M4 (16GB)
16 GB unified memory · 120 GB/s
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

Apple M4 Specs

VRAM32 GB unified memory
Memory Bandwidth120 GB/s

Codestral 22B on the Apple M4: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F1647.1 GB✗ No——
Q8_026.3 GB✗ No——
Q6_K20.9 GB✓ Yes16K—
Q5_K_M18.4 GB✓ Yes16K—
Q4_K_M16.1 GB✓ Yes32K—
Q3_K_M12.1 GB✓ Yes32K—
Q2_K10 GB✓ Yes32K—

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Superseded model. Codestral has been superseded by Devstral. This page is kept for reference; the newer family is a better starting point. Can I run Devstral on Apple M4? →

Context costs VRAM too. At Q4_K_M on the Apple M4: 8K 16.1 GB · 32K 21.7 GB. Every window this model publishes still fits 32 GB.

No compatible GPU? Codestral 22B on 16 GB of system RAM, CPU only: runs, but it is tight.

Codestral Sizes That Fit the Apple M4 (at 8K context)

Codestral 22BQ4_K_M · 16.1 GB at 8K context · ~5 tok/s (est.)
Won't fit — rent Codestral instead

Codestral needs ~16 GB but this GPU has 32 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Codestral on the Apple M4 — does it fit?

Yes, comfortably — Codestral 22B at Q4_K_M needs 16.1 GB at 8K context (13.4 GB weights + 2.7 GB KV cache/overhead), leaving ~7.9 GB of the Apple M4's 24 GB usable memory, at ~5 tok/s (est.), with room for up to 32K context.

Which Codestral variant fits best on the Apple M4?

Codestral 22B at Q4_K_M quantization needs 16.1 GB at 8K context (13.4 GB weights + 2.7 GB KV cache/overhead), estimated ~5 tokens/sec, up to 32K context.

Codestral on Other GPUs

Popular Models on the Apple M4

VRAM Tier

Troubleshooting

Buying Guide

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