Can I Run / Qwen 3.5 122B A10B / on Apple M5 Ultra (256GB)

Can I Run Qwen 3.5 122B A10B on a Apple M5 Ultra (256GB)?

Yes

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

Model size
122B
GPU memory
256GB
Smallest quant
Q4_K_M
Best fit
fp16

5 quantizations fit your 256GB

QuantMin VRAMRecommendedFile sizeHeadroom
fp16BEST245.0 GB246.5 GB244.0 GB+11.0 GB
Q8_0130.6 GB132.1 GB129.6 GB+125.4 GB
Q6_K101.5 GB103.0 GB100.5 GB+154.5 GB
Q5_K_M87.6 GB89.1 GB86.6 GB+168.4 GB
Q4_K_M75.0 GB76.5 GB74.0 GB+181.0 GB

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Full model details
Qwen 3.5 122B A10B

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

Best models for this GPU
Apple M5 Ultra (256GB)

Top-ranked open-source models that fit in 256GB.

FAQ

Can the Apple M5 Ultra (256GB) run Qwen 3.5 122B A10B?

Yes. The Apple M5 Ultra (256GB)'s 256GB of unified memory is enough to run Qwen 3.5 122B A10B at fp16 quantization (245.0GB required).

What's the best quantization to use?

fp16 is the highest-precision quantization that fits in your 256GB. It uses about 245.0GB of memory and 246.5GB 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.