Can I Run Llama 3.2 Vision on Apple M2 Max?

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, comfortably — you'll have ~42.4 GB of headroom running Llama 3.2 Vision 90B at Q4_K_M (53.613 GB, ~4 tok/s (est.)) with room for up to 64K context.

Apple M2 Max Specs

Llama 3.2 Vision 90B on the Apple M2 Max: VRAM by quantization

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 96 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 Vision Sizes That Fit the Apple M2 Max

FAQ

Llama 3.2 Vision on the Apple M2 Max — does it fit?

Yes, comfortably — you'll have ~42.4 GB of headroom running Llama 3.2 Vision 90B at Q4_K_M (53.613 GB, ~4 tok/s (est.)) with room for up to 64K context.

Which Llama 3.2 Vision variant fits best on the Apple M2 Max?

Llama 3.2 Vision 90B at Q4_K_M quantization (53.613 GB), estimated ~4 tokens/sec, up to 64K context.

Llama 3.2 Vision on Other GPUs

• Llama 3.2 Vision on AMD Ryzen AI Max+ 395
• Llama 3.2 Vision on NVIDIA RTX PRO 6000 Blackwell
• Llama 3.2 Vision on NVIDIA A100 80GB
• Llama 3.2 Vision on NVIDIA H100 80GB
• Llama 3.2 Vision on Apple M4 Max

Popular Models on the Apple M2 Max

• Qwen 2.5 Family on Apple M2 Max
• DeepSeek V4 on Apple M2 Max

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

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