Can I Run Llama 3.3 on Apple M2?

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Only with offload — Llama 3.3 spills onto CPU/system RAM on the Apple M2 (24 GB), so expect a large speed penalty.

Apple M2 Specs

Llama 3.3 70B Instruct on the Apple M2: 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 24 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Why It Does Not Fit

Every Llama 3.3 variant requires more VRAM than the Apple M2 provides (24 GB).

Nearest GPU That Fits

NVIDIA GeForce RTX 5090 (32 GB VRAM).

FAQ

Does the Apple M2 have enough VRAM for Llama 3.3?

Only with offload — Llama 3.3 spills onto CPU/system RAM on the Apple M2 (24 GB), so expect a large speed penalty.

Which GPU can actually run Llama 3.3?

The NVIDIA GeForce RTX 5090 (32 GB VRAM) is the cheapest upgrade that fits it.

Llama 3.3 on Other GPUs

• Llama 3.3 on NVIDIA GeForce RTX 4090
• Llama 3.3 on NVIDIA GeForce RTX 3090
• Llama 3.3 on AMD Radeon RX 7900 XTX
• Llama 3.3 on Apple M4 Pro
• Llama 3.3 on Apple M3

VRAM Tier

• Best LLMs for 24 GB VRAM

Troubleshooting

• Ollama: "model requires more system memory than is available"
• Out of memory at long context (the KV cache, not the weights)

Buying Guide

• Best GPU Buyer Guide 2026

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