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Can I run humanizer on an RTX 5070 Ti?

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 5070 Ti Get the Q8_0 file on Hugging Face
ollama run hf.co/jialinyyzz/humanizer-GGUF:Q8_0

Files and context on RTX 5070 Ti

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.

FileSizeOn RTX 5070 Ti Context (16-bit)Context (8-bit)
As published23.9 GBDoesn't fit——
BF16jialinyyzz/humanizer-GGUF23.8 GBDoesn't fit——
Q8_0jialinyyzz/humanizer-GGUF12.7 GBTight8K21K
Q6_Kjialinyyzz/humanizer-GGUF10.0 GBFits28K60K
Q4_K_Mjialinyyzz/humanizer-GGUF7.63 GBFits45K96K
IQ3_XXSjialinyyzz/humanizer-GGUF5.59 GBFits61K126K
IQ2_XSjialinyyzz/humanizer-GGUF3.89 GBFits73K152K

humanizer on other hardware

Popular models that run on RTX 5070 Ti

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.