Deepseek AI Deepseek Coder V2 Lite Instruct speed on Apple M4 Pro and quantization-level VRAM fit.
Apple M4 Pro meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder V2 Lite Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M4 Pro can run Deepseek AI Deepseek Coder V2 Lite Instruct with Q4 quantization. At approximately 25 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 56GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 8GB | 64GB | 25.17 tok/s | ✅ Fits comfortably |
| Q8 | 16GB | 64GB | 17.62 tok/s | ✅ Fits comfortably |
| FP16 | 32GB | 64GB | 9.57 tok/s | ✅ Fits comfortably |
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Apple M4 Pro can run Deepseek AI Deepseek Coder V2 Lite Instruct at Q4 with an estimated 25 tok/s.
Q4 inference is estimated to need about 8GB VRAM on this page, while Apple M4 Pro has 64GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.