Can I Run Qwen3 235B A22B Thinking 2507 on a Apple M3 Ultra (192GB)?
Runs at Q4_K_M — good quality with reasonable headroom.
5 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_MBEST | 143.5 GB | 145.0 GB | 142.2 GB | +48.5 GB |
| Q4_K_S | 135.6 GB | 137.1 GB | 133.7 GB | +56.4 GB |
| Q3_K_M | 99.5 GB | 101.0 GB | 112.5 GB | +92.5 GB |
| Q3_K_S | 91.5 GB | 93.0 GB | 101.4 GB | +100.5 GB |
| Q2_K | 78.3 GB | 79.8 GB | 85.7 GB | +113.7 GB |
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FAQ
Can the Apple M3 Ultra (192GB) run Qwen3 235B A22B Thinking 2507?
Yes. The Apple M3 Ultra (192GB)'s 192GB of unified memory is enough to run Qwen3 235B A22B Thinking 2507 at Q4_K_M quantization (143.5GB required).
What's the best quantization to use?
Q4_K_M is the highest-precision quantization that fits in your 192GB. It uses about 143.5GB of memory and 145.0GB 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.