Can I run humanizer on an RTX 5060 Ti 16 GB?

Yes, with a GGUF version

The published weights are too big, but the Q8_0 file from jialinyyzz/humanizer-GGUF (12.7 GB) fits, with room for ≈ 8K tokens of context.

Full analysis of humanizer Everything that runs on RTX 5060 Ti 16 GB Get the Q8_0 file on Hugging Face

ollama run hf.co/jialinyyzz/humanizer-GGUF:Q8_0

Files and context on RTX 5060 Ti 16 GB

Each file of humanizer (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)
As published	23.9 GB	Doesn't fit	—	—
BF16jialinyyzz/humanizer-GGUF	23.8 GB	Doesn't fit	—	—
Q8_0jialinyyzz/humanizer-GGUF	12.7 GB	Tight	8K	21K
Q6_Kjialinyyzz/humanizer-GGUF	10.0 GB	Fits	28K	60K
Q4_K_Mjialinyyzz/humanizer-GGUF	7.63 GB	Fits	45K	96K
IQ3_XXSjialinyyzz/humanizer-GGUF	5.59 GB	Fits	61K	126K
IQ2_XSjialinyyzz/humanizer-GGUF	3.89 GB	Fits	73K	152K

humanizer 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.