Deepseek AI Deepseek Coder V2 Instruct 0724 speed on Apple M3 Max and quantization-level VRAM fit.
Apple M3 Max meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder V2 Instruct 0724. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M3 Max can run Deepseek AI Deepseek Coder V2 Instruct 0724 with Q4 quantization. At approximately 8 tokens/second, you can expect Low speed - consider quantization or stronger GPU.
You have 10GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 118GB | 128GB | 8.05 tok/s | ✅ Fits comfortably |
| Q8 | 236GB | 128GB | 5.64 tok/s | ❌ Not recommended |
| FP16 | 472GB | 128GB | 3.06 tok/s | ❌ Not recommended |
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Apple M3 Max can run Deepseek AI Deepseek Coder V2 Instruct 0724 at Q4 with an estimated 8 tok/s.
Q4 inference is estimated to need about 118GB VRAM on this page, while Apple M3 Max has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.