Qwen Qwen2 5 Coder 32B Instruct speed on Apple M2 Pro and quantization-level VRAM fit.
Apple M2 Pro 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 Pro can run Qwen Qwen2 5 Coder 32B Instruct with Q4 quantization. At approximately 9 tokens/second, you can expect Low speed - consider quantization or stronger GPU.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 17GB | 32GB | 9.39 tok/s | ✅ Fits comfortably |
| Q8 | 33GB | 32GB | 6.58 tok/s | ❌ Not recommended |
| FP16 | 66GB | 32GB | 3.57 tok/s | ❌ Not recommended |
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Apple M2 Pro can run Qwen Qwen2 5 Coder 32B Instruct at Q4 with an estimated 9 tok/s.
Q4 inference is estimated to need about 17GB VRAM on this page, while Apple M2 Pro has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.