Can I Run Gemma 3 on Apple M4?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB at 8K context (7.2 GB weights + 3.9 GB KV cache/overhead), leaving ~12.9 GB of the Apple M4's 24 GB usable memory, at ~7 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

Gemma 3 12B Instruct on the Apple M4: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F1627.9 GB✗ No——
Q8_016.6 GB✓ Yes16KBuild for this
Q6_K13.7 GB✓ Yes32K—
Q5_K_M12.4 GB✓ Yes32KBuild for this
Q4_K_M11.1 GB✓ Yes32KBuild for this
Q3_K_M9 GB✓ Yes32K—
Q2_K7.8 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.

Context costs VRAM too. At Q4_K_M on the Apple M4: 8K 11.1 GB · 32K 20.4 GB · 128K 57.4 GB ✗. Past 128K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Gemma 3 12B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.

Gemma 3 Sizes That Fit the Apple M4 (at 8K context)

Gemma 3 12B InstructQ4_K_M · 11.1 GB at 8K context · ~7 tok/s (est.)
Gemma 3 4B InstructQ4_K_M · 4.4 GB at 8K context · ~21 tok/s (est.)
Gemma 3 1B InstructQ4_K_M · 2 GB at 8K context · ~60 tok/s (est.)
Won't fit — rent Gemma 3 instead

Gemma 3 needs ~11 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

Is the Apple M4 enough to run Gemma 3 locally?

Yes, comfortably — Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB at 8K context (7.2 GB weights + 3.9 GB KV cache/overhead), leaving ~12.9 GB of the Apple M4's 24 GB usable memory, at ~7 tok/s (est.), with room for up to 32K context.

What's the best Gemma 3 size for the Apple M4?

Gemma 3 12B Instruct at Q4_K_M quantization needs 11.1 GB at 8K context (7.2 GB weights + 3.9 GB KV cache/overhead), estimated ~7 tokens/sec, up to 32K context.

Every Gemma 3 size on the Apple M4

SizeVRAM at 8KVerdictSpeed
Gemma 3 27B Instruct25.4 GBRuns at Q3_K_M—
Gemma 3 12B Instruct11.1 GBRuns~7 tok/s
Gemma 3 4B Instruct4.4 GBRuns~21 tok/s
Gemma 3 1B Instruct2 GBRuns~60 tok/s

Gemma 3 on Other GPUs

Popular Models on the Apple M4

VRAM Tier

Troubleshooting

Buying Guide

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