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Can I run Qwen3-VL-32B-Thinking-GGUF on a Radeon RX 7900 XTX?

Yes, just

Its Q4_K_M file (19.8 GB) fits in the 21.6 GB a Radeon RX 7900 XTX can use, with room for ≈ 7K tokens of context.

Full analysis of Qwen3-VL-32B-Thinking-GGUF Everything that runs on Radeon RX 7900 XTX Get the Q4_K_M file on Hugging Face
ollama run hf.co/Qwen/Qwen3-VL-32B-Thinking-GGUF:Q4_K_M

Files and context on Radeon RX 7900 XTX

Each file of Qwen3-VL-32B-Thinking-GGUF (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 Radeon RX 7900 XTX Context (16-bit)Context (8-bit)
F1665.5 GBDoesn't fit——
Q8_034.8 GBDoesn't fit——
Q4_K_M19.8 GBTight7K14K

Qwen3-VL-32B-Thinking-GGUF on other hardware

Popular models that run on Radeon RX 7900 XTX

Assumes 90% of the card's memory is usable 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.