Written by Jakub Rusinowski · Last updated September 6, 2026
Only with offload — Qwen3.8 spills onto CPU/system RAM on the Apple M2 (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 | 57.2 GB | ✗ No | — |
| Q8_0 | 31.2 GB | ✗ No | — |
| Q6_K | 24.5 GB | ✗ No | — |
| Q5_K_M | 21.4 GB | ✓ Yes | 16K |
| Q4_K_M | 18.4 GB | ✓ Yes | 16K |
| Q3_K_M | 13.5 GB | ✓ Yes | 32K |
| Q2_K | 10.8 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 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 Qwen3.8 variant requires more VRAM than the Apple M2 provides (24 GB).
NVIDIA GeForce RTX 5090 (32 GB VRAM).
Qwen3.8 needs ~17 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 — Qwen3.8 spills onto CPU/system RAM on the Apple M2 (24 GB), so expect a large speed penalty.
The NVIDIA GeForce RTX 5090 (32 GB VRAM) is the cheapest upgrade that fits it.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Qwen3.8-Max | 1449.0 GB | Does not fit | — |
| Qwen3.8 27B | 16.8 GB | Runs at Q3_K_M | — |
← Can I Run It? | Qwen3.8 Model Page | Apple M2 GPU Page | Check Your Hardware