Written by Jakub Rusinowski · Last updated July 12, 2026
Only with offload — Llama 3.3 spills onto CPU/system RAM on the Apple M3 (24 GB), so expect a large speed penalty.
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| VRAM | 24 GB unified memory |
| Memory Bandwidth | 100 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 142.1 GB | ✗ No | — |
| Q8_0 | 76.5 GB | ✗ No | — |
| Q6_K | 59.5 GB | ✗ No | — |
| Q5_K_M | 51.8 GB | ✗ No | — |
| Q4_K_M | 44.4 GB | ✗ No | — |
| Q3_K_M | 32 GB | ✗ No | — |
| Q2_K | 25.2 GB | ✗ No | — |
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.
Every Llama 3.3 variant requires more VRAM than the Apple M3 provides (24 GB).
NVIDIA GeForce RTX 5090 (32 GB VRAM).
Llama 3.3 needs ~20 GB but this GPU has 24 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Only with offload — Llama 3.3 spills onto CPU/system RAM on the Apple M3 (24 GB), so expect a large speed penalty.
The NVIDIA GeForce RTX 5090 (32 GB VRAM) is the cheapest upgrade that fits it.
← Can I Run It? | Llama 3.3 Model Page | Apple M3 GPU Page | Check Your Hardware