Can I Run Llama 3.2 Family on Apple M1 Ultra?

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026

Yes, comfortably — you'll have ~74.4 GB of headroom running Llama 3.2 90B Vision Instruct at Q4_K_M (53.613 GB, ~8 tok/s (est.)) with room for up to 64K context.

Buy This HardwareApple Mac Studio M1 Ultra — 128 GB VRAM · 60 W board power Deploy in the Cloud NowNVIDIA A100 80GB on RunPod — from $1.39/hr · rate checked 2026-07

or compare on Vast.ai from $0.77/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.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Apple Mac Studio M1 Ultra

128 GB VRAM · 60 W board power

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

Apple M1 Ultra Specs

VRAM	128 GB unified memory
Memory Bandwidth	800 GB/s

Llama 3.2 90B Vision Instruct on the Apple M1 Ultra: VRAM by quantization

Quant	VRAM needed	Fits 128 GB?	Max context
F16	180.1 GB	✗ No	—
Q8_0	96.8 GB	✓ Yes	64K
Q6_K	75.3 GB	✓ Yes	64K
Q5_K_M	65.4 GB	✓ Yes	64K
Q4_K_M	56.1 GB	✓ Yes	64K
Q3_K_M	40.3 GB	✓ Yes	64K
Q2_K	31.7 GB	✓ Yes	64K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 128 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Llama 3.2 Family Sizes That Fit the Apple M1 Ultra

Llama 3.2 90B Vision Instruct	Q4_K_M · 53.613 GB · ~8 tok/s (est.)
Llama 3.2 11B Vision Instruct	Q4_K_M · 6.39975 GB · ~52 tok/s (est.)
Llama 3.2 3B Instruct	Q4_K_M · 1.9380375 GB · ~118 tok/s (est.)
Llama 3.2 1B Instruct	Q4_K_M · 0.74865 GB · ~199 tok/s (est.)

Buy vs. rent Llama 3.2 Family

Buy the GPU

~$3,999

Apple M1 Ultra · MSRP

Rent by the hour

from $0.77/hr

A100 (80 GB) class

At 2 hrs/day, buying (~$3,999) beats renting at $0.77/hr after about 7.2 years.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

Vast.ai $0.77/hr · typical low · varies

Rent on Vast.ai →

RunPod $1.39/hr

Rent on RunPod →

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

FAQ

Will Llama 3.2 Family run on the Apple M1 Ultra?

Yes, comfortably — you'll have ~74.4 GB of headroom running Llama 3.2 90B Vision Instruct at Q4_K_M (53.613 GB, ~8 tok/s (est.)) with room for up to 64K context.

Which Llama 3.2 Family variant fits best on the Apple M1 Ultra?

Llama 3.2 90B Vision Instruct at Q4_K_M quantization (53.613 GB), estimated ~8 tokens/sec, up to 64K context.

Every Llama 3.2 Family size on the Apple M1 Ultra

Size	VRAM	Verdict	Speed
Llama 3.2 90B Vision Instruct	53.6 GB	Runs	~8 tok/s
Llama 3.2 11B Vision Instruct	6.4 GB	Runs	~52 tok/s
Llama 3.2 3B Instruct	1.9 GB	Runs	~118 tok/s
Llama 3.2 1B Instruct	0.7 GB	Runs	~199 tok/s

Llama 3.2 Family on Other GPUs

Popular Models on the Apple M1 Ultra

DeepSeek V4 on Apple M1 Ultra

VRAM Tier

Best LLMs for 80 GB VRAM

Troubleshooting

Which GGUF quant should I download? (Q4 vs Q5 vs Q8)

Buying Guide

Best GPU Buyer Guide 2026

← Can I Run It? | Llama 3.2 Family Model Page | Apple M1 Ultra GPU Page | Check Your Hardware