Can I Run Qwen 3.6 35B A3B on a Apple M2 Ultra (192GB)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 71.0 GB | 72.5 GB | 70.0 GB | +121.0 GB |
| Q8_0 | 38.2 GB | 39.7 GB | 37.2 GB | +153.8 GB |
| Q6_K | 29.8 GB | 31.3 GB | 28.8 GB | +162.2 GB |
| Q5_K_M | 25.9 GB | 27.4 GB | 24.9 GB | +166.2 GB |
| Q4_K_M | 22.2 GB | 23.7 GB | 21.2 GB | +169.8 GB |
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FAQ
Can the Apple M2 Ultra (192GB) run Qwen 3.6 35B A3B?
Yes. The Apple M2 Ultra (192GB)'s 192GB of unified memory is enough to run Qwen 3.6 35B A3B at fp16 quantization (71.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 192GB. It uses about 71.0GB of memory and 72.5GB 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.