Can I Run DeepSeek V3.2 on a Apple M3 Ultra (512GB)?
Runs at Q5_K_M — good quality with reasonable headroom.
2 quantizations fit your 512GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q5_K_MBEST | 487.4 GB | 488.9 GB | 486.4 GB | +24.6 GB |
| Q4_K_M | 416.3 GB | 417.8 GB | 415.3 GB | +95.7 GB |
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Top-ranked open-source models that fit in 512GB.
FAQ
Can the Apple M3 Ultra (512GB) run DeepSeek V3.2?
Yes. The Apple M3 Ultra (512GB)'s 512GB of unified memory is enough to run DeepSeek V3.2 at Q5_K_M quantization (487.4GB required).
What's the best quantization to use?
Q5_K_M is the highest-precision quantization that fits in your 512GB. It uses about 487.4GB of memory and 488.9GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.