Can I Run / Qwen3 VL 235B A22B Instruct / on Apple M3 Ultra (512GB)

Can I Run Qwen3 VL 235B A22B Instruct on a Apple M3 Ultra (512GB)?

Yes

Runs at full precision (fp16). Zero quality loss.

Model size
236B
GPU memory
512GB
Smallest quant
fp16
Best fit
fp16

1 quant fit your 512GB

QuantMin VRAMRecommendedFile sizeHeadroom
fp16BEST472.4 GB473.9 GB1.2 GB+39.6 GB

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Full model details
Qwen3 VL 235B A22B Instruct

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

Best models for this GPU
Apple M3 Ultra (512GB)

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

FAQ

Can the Apple M3 Ultra (512GB) run Qwen3 VL 235B A22B Instruct?

Yes. The Apple M3 Ultra (512GB)'s 512GB of unified memory is enough to run Qwen3 VL 235B A22B Instruct at fp16 quantization (472.4GB required).

What's the best quantization to use?

fp16 is the highest-precision quantization that fits in your 512GB. It uses about 472.4GB of memory and 473.9GB 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.