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Can I run Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced on an RTX 6000 Ada?

Yes

Its Q4_K_M file (7.38 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 256K tokens of context.

Full analysis of Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced Everything that runs on RTX 6000 Ada 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 6000 Ada

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.

FileSizeOn RTX 6000 Ada Context (16-bit)Context (8-bit)
Q4_K_M7.38 GBFits256K256K

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

Popular models that run on RTX 6000 Ada

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.