Can I run DeepSeek-V4-Pro on a Apple M5 Max?
Not at these settings. No indexed quantization of DeepSeek-V4-Pro fits Apple M5 Max at any context we compute, with q4_0 KV. The smallest shipped quantization is 530.31 GiB in weights alone, against 89.28 GiB usable. CPU offload can still run it, slowly.
Every quantization at every context
| Quant | Weights● | 4K◐ | 8K◐ | 16K◐ | 32K◐ | 64K◐ | 128K◐ |
|---|---|---|---|---|---|---|---|
| Q8_0 | 1557.00 GiB | 1557.8 | 1557.9 | 1558.2 | 1558.7 | 1559.8 | 1562.0 |
| Q5_K_M | 1038.96 GiB | 1039.8 | 1039.9 | 1040.2 | 1040.7 | 1041.8 | 1043.9 |
| Q4_K_M | 885.58 GiB | 886.4 | 886.5 | 886.8 | 887.3 | 888.4 | 890.5 |
| Q3_K_M | 697.01 GiB | 697.8 | 697.9 | 698.2 | 698.7 | 699.8 | 702.0 |
| Q2_K | 530.31 GiB | 531.1 | 531.2 | 531.5 | 532.1 | 533.1 | 535.3 |
Figures are GiB of total memory: weights plus KV cache plus compute buffer and backend overhead. Weights and KV are near-exact; the overhead term is modeled. Hover any cell for the breakdown.
Why other calculators disagree
A parameters × bits ÷ 8 estimate ignores two things that dominate at long context. First, the weights themselves are not the nominal rate — quantizations are mixtures, so the real file is consistently larger than the label implies. Second, most of this model's layers cache only a 128-token window rather than the full context.