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Can I run gemma-4-E4B-it-GGUF on an RTX 5060 Ti 16 GB?

Yes

Its UD-Q8_K_XL file (8.71 GB) fits in the 14.4 GB an RTX 5060 Ti 16 GB can use, with room for ≈ 128K tokens of context.

Full analysis of gemma-4-E4B-it-GGUF Everything that runs on RTX 5060 Ti 16 GB Get the UD-Q8_K_XL file on Hugging Face
ollama run hf.co/unsloth/gemma-4-E4B-it-GGUF:UD-Q8_K_XL

Files and context on RTX 5060 Ti 16 GB

Each file of gemma-4-E4B-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 5060 Ti 16 GB Context (16-bit)Context (8-bit)
BF1615.1 GBDoesn't fit——
UD-Q8_K_XL8.71 GBFits128K128K
Q8_08.19 GBFits128K128K
UD-Q6_K_XL7.46 GBFits128K128K
Q6_K7.07 GBFits128K128K
UD-Q5_K_XL6.66 GBFits128K128K
Q5_K_M5.48 GBFits128K128K
Q5_K_S5.40 GBFits128K128K
UD-Q4_K_XL5.13 GBFits128K128K
Q4_15.07 GBFits128K128K
Q4_K_M4.98 GBFits128K128K
Q4_K_S4.84 GBFits128K128K
Q4_04.84 GBFits128K128K
IQ4_NL4.84 GBFits128K128K
IQ4_XS4.72 GBFits128K128K
UD-Q3_K_XL4.59 GBFits128K128K
Q3_K_M4.06 GBFits128K128K
Q3_K_S3.86 GBFits128K128K
UD-Q2_K_XL3.76 GBFits128K128K
UD-IQ3_XXS3.72 GBFits128K128K
UD-IQ2_M3.55 GBFits128K128K

gemma-4-E4B-it-GGUF on other hardware

Popular models that run on RTX 5060 Ti 16 GB

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.