Can I run WeVisOne-VL-2B on an RTX 3060 12 GB?

Yes

Its published weights (4.88 GB) fit in the 10.8 GB an RTX 3060 12 GB can use, with room for ≈ 50K tokens of context.

Full analysis of WeVisOne-VL-2B Everything that runs on RTX 3060 12 GB Get the weights on Hugging Face

hf download tencent/WeVisOne-VL-2B

Files and context on RTX 3060 12 GB

Each file of WeVisOne-VL-2B (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 3060 12 GB	Context (16-bit)	Context (8-bit)
As published	4.88 GB	Fits	50K	101K
4-bit (estimate)	1.37 GB	Fits	80K	161K

WeVisOne-VL-2B on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 3060 12 GB

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Qwen2.5-1.5B-InstructQwen · 1.54B
Qwen3-4BQwen · 4.02B
Qwen3.5-4BQwen · 4.66B
Ornith-1.5-9B-GGUFornith-ai · 9.20B

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.