Can I Run Qwen 3.6 27B on a Apple M5 (24GB)?
Runs comfortably at Q6_K — minimal quality loss.
3 quantizations fit your 24.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 23.2 GB | 24.7 GB | 22.2 GB | +0.8 GB |
| Q5_K_M | 20.2 GB | 21.7 GB | 19.2 GB | +3.8 GB |
| Q4_K_M | 17.4 GB | 18.9 GB | 16.4 GB | +6.6 GB |
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Top-ranked open-source models that fit in 24.0GB.
FAQ
Can the Apple M5 (24GB) run Qwen 3.6 27B?
Yes. The Apple M5 (24GB)'s 24.0GB of unified memory is enough to run Qwen 3.6 27B at Q6_K quantization (23.2GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 24.0GB. It uses about 23.2GB of memory and 24.7GB 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.