Can I run Gemma-4-E4B-Uncensored-HauhauCS-Aggressive on an RTX 5060 Ti 16 GB?

Yes

Its Q8_K file (8.13 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-Uncensored-HauhauCS-Aggressive Everything that runs on RTX 5060 Ti 16 GB Get the Q8_K file on Hugging Face

ollama run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q8_K

Files and context on RTX 5060 Ti 16 GB

Each file of Gemma-4-E4B-Uncensored-HauhauCS-Aggressive (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 5060 Ti 16 GB	Context (16-bit)	Context (8-bit)
Q8_K	8.13 GB	Fits	128K	128K
Q6_K	6.25 GB	Fits	128K	128K
Q5_K	5.81 GB	Fits	128K	128K
Q5_K_M	5.76 GB	Fits	128K	128K
Q4_K	5.37 GB	Fits	128K	128K
Q4_K_M	5.34 GB	Fits	128K	128K
IQ4_XS	5.07 GB	Fits	128K	128K
Q3_K	4.88 GB	Fits	128K	128K
Q3_K_M	4.85 GB	Fits	128K	128K
IQ3_M	4.71 GB	Fits	128K	128K
Q2_K	4.43 GB	Fits	128K	128K

Gemma-4-E4B-Uncensored-HauhauCS-Aggressive 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.