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Can I run humanizer on an RTX 5070?

Yes, with a GGUF version

The published weights are too big, but the Q4_K_M file from jialinyyzz/humanizer-GGUF (7.63 GB) fits, with room for ≈ 19K tokens of context.

Full analysis of humanizer Everything that runs on RTX 5070 Get the Q4_K_M file on Hugging Face
ollama run hf.co/jialinyyzz/humanizer-GGUF:Q4_K_M

Files and context on RTX 5070

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 Context (16-bit)Context (8-bit)
As published23.9 GBDoesn't fit——
BF16jialinyyzz/humanizer-GGUF23.8 GBDoesn't fit——
Q8_0jialinyyzz/humanizer-GGUF12.7 GBDoesn't fit——
Q6_Kjialinyyzz/humanizer-GGUF10.0 GBDoesn't fit9796K
Q4_K_Mjialinyyzz/humanizer-GGUF7.63 GBFits19K42K
IQ3_XXSjialinyyzz/humanizer-GGUF5.59 GBFits34K73K
IQ2_XSjialinyyzz/humanizer-GGUF3.89 GBFits46K98K

humanizer on other hardware

Popular models that run on RTX 5070

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.