Can I run Qwen3-VL-8B-Thinking on an RTX 4060?

Yes, with a GGUF version

The published weights are too big, but the Q4_K_M file from Qwen/Qwen3-VL-8B-Thinking-GGUF (5.03 GB) fits, with room for ≈ 14K tokens of context.

Full analysis of Qwen3-VL-8B-Thinking Everything that runs on RTX 4060 Get the Q4_K_M file on Hugging Face

ollama run hf.co/Qwen/Qwen3-VL-8B-Thinking-GGUF:Q4_K_M

Files and context on RTX 4060

Each file of Qwen3-VL-8B-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.

File	Size	On RTX 4060	Context (16-bit)	Context (8-bit)
As published	17.5 GB	Doesn't fit	—	—
F16Qwen/Qwen3-VL-8B-Thinking-GGUF	16.4 GB	Doesn't fit	—	—
Q8_0Qwen/Qwen3-VL-8B-Thinking-GGUF	8.71 GB	Doesn't fit	—	—
Q4_K_MQwen/Qwen3-VL-8B-Thinking-GGUF	5.03 GB	Fits	14K	29K

Qwen3-VL-8B-Thinking on other hardware

Popular models that run on RTX 4060

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.