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Can I run Qwen3-VL-235B-A22B-Thinking on a Mac with 256 GB?

Yes, with a GGUF version

The published weights are too big, but the Q4_K_M file from Qwen/Qwen3-VL-235B-A22B-Thinking-GGUF (142 GB) fits, with room for ≈ 253K tokens of context.

Full analysis of Qwen3-VL-235B-A22B-Thinking Everything that runs on Mac with 256 GB Get the Q4_K_M file on Hugging Face
llama-server -hf Qwen/Qwen3-VL-235B-A22B-Thinking-GGUF:Q4_K_M

Files and context on Mac with 256 GB

Each file of Qwen3-VL-235B-A22B-Thinking (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

FileSizeOn Mac with 256 GB Context (16-bit)Context (8-bit)
As published471 GBDoesn't fit——
F16Qwen/Qwen3-VL-235B-A22B-Thinking-GGUF470 GBDoesn't fit——
Q8_0Qwen/Qwen3-VL-235B-A22B-Thinking-GGUF250 GBDoesn't fit——
Q4_K_MQwen/Qwen3-VL-235B-A22B-Thinking-GGUF142 GBFits253K256K

Qwen3-VL-235B-A22B-Thinking on other hardware

Popular models that run on Mac with 256 GB

Assumes 75% of the Mac's memory is usable (macOS's default limit for the GPU; it can be raised) and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.