Can I run Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced on an RTX 3090?

Yes

Its Q4_K_M file (7.38 GB) fits in the 21.6 GB an RTX 3090 can use, with room for ≈ 101K tokens of context.

Full analysis of Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced Everything that runs on RTX 3090 Get the Q4_K_M file on Hugging Face

ollama run hf.co/HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced:Q4_K_M

Files and context on RTX 3090

Each file of Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced (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 3090	Context (16-bit)	Context (8-bit)
Q4_K_M	7.38 GB	Fits	101K	207K

Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060No
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

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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.