Can I Run Qwen 3.5 on Apple M2?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — Qwen 3.5 9B at Q4_K_M needs 6.5 GB at 8K context (5.4 GB weights + 1.1 GB KV cache/overhead), leaving ~11.5 GB of the Apple M2's 18 GB usable memory, at ~10 tok/s (est.), with room for up to 128K context.
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Apple M2 Specs
| VRAM | 24 GB unified memory |
| Memory Bandwidth | 100 GB/s |
Qwen 3.5 9B on the Apple M2: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 19.1 GB | ✗ No | — | — |
| Q8_0 | 10.6 GB | ✓ Yes | 128K | Build for this |
| Q6_K | 8.4 GB | ✓ Yes | 128K | — |
| Q5_K_M | 7.4 GB | ✓ Yes | 128K | — |
| Q4_K_M | 6.5 GB | ✓ Yes | 128K | Build for this |
| Q3_K_M | 4.9 GB | ✓ Yes | 128K | — |
| Q2_K | 4 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “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.
Context costs VRAM too. At Q4_K_M on the Apple M2: 8K 6.5 GB · 32K 7.3 GB · 128K 10.5 GB. Every window this model publishes still fits 24 GB.
No compatible GPU? Qwen 3.5 9B on 16 GB of system RAM, CPU only: runs.
Qwen 3.5 Sizes That Fit the Apple M2 (at 8K context)
| Qwen 3.5 9B | Q4_K_M · 6.5 GB at 8K context · ~10 tok/s (est.) |
| Qwen 3.5 4B | Q4_K_M · 3.5 GB at 8K context · ~20 tok/s (est.) |
| Qwen 3.5 2B | Q4_K_M · 2.7 GB at 8K context · ~31 tok/s (est.) |
| Qwen 3.5 0.8B | Q4_K_M · 1.8 GB at 8K context · ~60 tok/s (est.) |
Qwen 3.5 needs ~7 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.
FAQ
Does the Apple M2 have enough VRAM for Qwen 3.5?
Yes, comfortably — Qwen 3.5 9B at Q4_K_M needs 6.5 GB at 8K context (5.4 GB weights + 1.1 GB KV cache/overhead), leaving ~11.5 GB of the Apple M2's 18 GB usable memory, at ~10 tok/s (est.), with room for up to 128K context.
Which quantization of Qwen 3.5 should I use on the Apple M2?
Qwen 3.5 9B at Q4_K_M quantization needs 6.5 GB at 8K context (5.4 GB weights + 1.1 GB KV cache/overhead), estimated ~10 tokens/sec, up to 128K context.
Every Qwen 3.5 size on the Apple M2
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 3.5 397B-A17B | 139 GB | Does not fit | — |
| Qwen 3.5 122B-A10B | 77.3 GB | Does not fit | — |
| Qwen 3.5 35B-A3B | 23.8 GB | Runs at Q3_K_M | — |
| Qwen 3.5 27B | 18.8 GB | Runs at Q3_K_M | — |
| Qwen 3.5 9B | 6.5 GB | Runs | ~10 tok/s |
| Qwen 3.5 4B | 3.5 GB | Runs | ~20 tok/s |
| Qwen 3.5 2B | 2.7 GB | Runs | ~31 tok/s |
| Qwen 3.5 0.8B | 1.8 GB | Runs | ~60 tok/s |
Qwen 3.5 on Other GPUs
- Qwen 3.5 on NVIDIA GeForce RTX 4090
- Qwen 3.5 on NVIDIA GeForce RTX 3090
- Qwen 3.5 on AMD Radeon RX 7900 XTX
- Qwen 3.5 on Apple M4 Pro
- Qwen 3.5 on Apple M3
VRAM Tier
Troubleshooting
Buying Guide
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