Can I run gemma-4-12B-coder-fable5-composer2.5-v1-GGUF on an RTX 6000 Ada?

Yes

Its Q8_0 file (12.7 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 222K tokens of context.

Full analysis of gemma-4-12B-coder-fable5-composer2.5-v1-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face

ollama run hf.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF:Q8_0

Files and context on RTX 6000 Ada

Each file of gemma-4-12B-coder-fable5-composer2.5-v1-GGUF (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 6000 Ada	Context (16-bit)	Context (8-bit)
Q8_0	12.7 GB	Fits	222K	256K
Q6_K	9.79 GB	Fits	244K	256K
Q4_K_M	7.38 GB	Fits	256K	256K
Q3_K_M	6.09 GB	Fits	256K	256K
Q2_K	4.83 GB	Fits	256K	256K

gemma-4-12B-coder-fable5-composer2.5-v1-GGUF 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.