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Can I run gemma-4-26B-A4B-it-GGUF on an RTX 3090?

Yes, just

Its UD-Q5_K_S file (18.9 GB) fits in the 21.6 GB an RTX 3090 can use, with room for ≈ 28K tokens of context.

Full analysis of gemma-4-26B-A4B-it-GGUF Everything that runs on RTX 3090 Get the UD-Q5_K_S file on Hugging Face
ollama run hf.co/unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q5_K_S

Files and context on RTX 3090

Each file of gemma-4-26B-A4B-it-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.

FileSizeOn RTX 3090 Context (16-bit)Context (8-bit)
BF1650.5 GBDoesn't fit——
UD-Q8_K_XL27.6 GBDoesn't fit——
Q8_026.9 GBDoesn't fit——
UD-Q6_K_XL23.3 GBDoesn't fit——
UD-Q6_K23.2 GBDoesn't fit——
UD-Q5_K_XL21.2 GBDoesn't fit7774K
UD-Q5_K_M21.2 GBDoesn't fit9146K
UD-Q5_K_S18.9 GBTight28K61K
UD-Q4_K_XL17.0 GBFits50K104K
UD-Q4_K_M16.9 GBFits50K106K
MXFP4_MOE16.6 GBFits55K115K
UD-Q4_K_S16.5 GBFits56K117K
UD-IQ4_NL13.6 GBFits90K185K
UD-IQ4_XS13.6 GBFits90K186K
UD-Q3_K_XL12.9 GBFits99K202K
UD-Q3_K_M12.7 GBFits101K207K
UD-IQ3_XXS11.4 GBFits116K238K
UD-IQ3_S11.3 GBFits118K241K
UD-Q2_K_XL10.5 GBFits127K256K
UD-IQ2_M10.0 GBFits133K256K
UD-IQ2_XXS9.92 GBFits134K256K

gemma-4-26B-A4B-it-GGUF on other hardware

Popular models that run on RTX 3090

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.