Apple M2 Max meets the minimum VRAM requirement for Q4 inference of deepseek-ai/deepseek-coder-33b-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Max can run deepseek-ai/deepseek-coder-33b-instruct with Q4 quantization. At approximately 18 tokens/second, you can expect Basic speed - best for non-interactive tasks.
You have 79GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 17GB | 96GB | 17.66 tok/s | ✅ Fits comfortably |
| Q8 | 34GB | 96GB | 12.93 tok/s | ✅ Fits comfortably |
| FP16 | 68GB | 96GB | 6.89 tok/s | ✅ Fits comfortably |