Deepseek AI Deepseek Coder V2 Lite Instruct speed on Apple M2 Max and quantization-level VRAM fit.
Apple M2 Max 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 M2 Max can run Deepseek AI Deepseek Coder V2 Lite Instruct with Q4 quantization. At approximately 37 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 88GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 8GB | 96GB | 36.90 tok/s | ✅ Fits comfortably |
| Q8 | 16GB | 96GB | 25.83 tok/s | ✅ Fits comfortably |
| FP16 | 32GB | 96GB | 14.02 tok/s | ✅ Fits comfortably |
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Apple M2 Max can run Deepseek AI Deepseek Coder V2 Lite Instruct at Q4 with an estimated 37 tok/s.
Q4 inference is estimated to need about 8GB VRAM on this page, while Apple M2 Max has 96GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.