Can I Run / Qwen 3.6 27B / on Apple M4 (32GB)
Can I Run Qwen 3.6 27B on a Apple M4 (32GB)?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
27.0B
GPU memory
32.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 32.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 29.7 GB | 31.2 GB | 28.7 GB | +2.3 GB |
| Q6_K | 23.2 GB | 24.7 GB | 22.2 GB | +8.8 GB |
| Q5_K_M | 20.2 GB | 21.7 GB | 19.2 GB | +11.8 GB |
| Q4_K_M | 17.4 GB | 18.9 GB | 16.4 GB | +14.6 GB |
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Full model details
Qwen 3.6 27B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
Apple M4 (32GB) →
Top-ranked open-source models that fit in 32.0GB.
FAQ
Can the Apple M4 (32GB) run Qwen 3.6 27B?
Yes. The Apple M4 (32GB)'s 32.0GB of unified memory is enough to run Qwen 3.6 27B at Q8_0 quantization (29.7GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 32.0GB. It uses about 29.7GB of memory and 31.2GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.