Can I Run Qwen3.5-27B on a Apple M5 Pro (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 |
Try it in the cloud first
Don't want to download Qwen3.5-27B just to try it? Use a hosted API or rent a GPU by the second.
Affiliate links — we earn a commission at no cost to you.
All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 24.0GB.
FAQ
Can the Apple M5 Pro (24GB) run Qwen3.5-27B?
Yes. The Apple M5 Pro (24GB)'s 24.0GB of unified memory is enough to run Qwen3.5-27B 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.