Can I run Qwen3-VL-4B-Thinking on an RTX 4060?

Yes, with a GGUF version

The published weights are too big, but the Q8_0 file from Qwen/Qwen3-VL-4B-Thinking-GGUF (4.28 GB) fits, with room for ≈ 19K tokens of context.

Full analysis of Qwen3-VL-4B-Thinking Everything that runs on RTX 4060 Get the Q8_0 file on Hugging Face

ollama run hf.co/Qwen/Qwen3-VL-4B-Thinking-GGUF:Q8_0

Files and context on RTX 4060

Each file of Qwen3-VL-4B-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	8.88 GB	Doesn't fit	—	—
F16Qwen/Qwen3-VL-4B-Thinking-GGUF	8.05 GB	Doesn't fit	—	—
Q8_0Qwen/Qwen3-VL-4B-Thinking-GGUF	4.28 GB	Fits	19K	39K
Q4_K_MQwen/Qwen3-VL-4B-Thinking-GGUF	2.50 GB	Fits	31K	62K

Qwen3-VL-4B-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.