Can I Run / DeepSeek V3.2 / on Apple M5 Ultra (512GB)

Can I Run DeepSeek V3.2 on a Apple M5 Ultra (512GB)?

Yes

Runs at Q5_K_M — good quality with reasonable headroom.

Model size
685B
GPU memory
512GB
Smallest quant
Q4_K_M
Best fit
Q5_K_M

2 quantizations fit your 512GB

QuantMin VRAMRecommendedFile sizeHeadroom
Q5_K_MBEST487.4 GB488.9 GB486.4 GB+24.6 GB
Q4_K_M416.3 GB417.8 GB415.3 GB+95.7 GB

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Full model details
DeepSeek V3.2

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
Apple M5 Ultra (512GB)

Top-ranked open-source models that fit in 512GB.

FAQ

Can the Apple M5 Ultra (512GB) run DeepSeek V3.2?

Yes. The Apple M5 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.