Qwen Qwen2 5 Coder 32B Instruct speed on Apple M2 Ultra and quantization-level VRAM fit.
Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of Qwen Qwen2 5 Coder 32B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Ultra can run Qwen Qwen2 5 Coder 32B Instruct with Q4 quantization. At approximately 38 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 176GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 192GB | 37.57 tok/s | ✅ Fits comfortably |
| Q8 | 32GB | 192GB | 26.30 tok/s | ✅ Fits comfortably |
| FP16 | 64GB | 192GB | 14.28 tok/s | ✅ Fits comfortably |
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Apple M2 Ultra can run Qwen Qwen2 5 Coder 32B Instruct at Q4 with an estimated 38 tok/s.
Q4 inference is estimated to need about 16GB VRAM on this page, while Apple M2 Ultra has 192GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.