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Can I run humanizer-GGUF on an RTX 5080?

Yes, just

Its Q8_0 file (12.7 GB) fits in the 14.4 GB an RTX 5080 can use, with room for ≈ 8K tokens of context.

Full analysis of humanizer-GGUF Everything that runs on RTX 5080 Get the Q8_0 file on Hugging Face
ollama run hf.co/jialinyyzz/humanizer-GGUF:Q8_0

Files and context on RTX 5080

Each file of humanizer-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 5080 Context (16-bit)Context (8-bit)
BF1623.8 GBDoesn't fit——
Q8_012.7 GBTight8K21K
Q6_K10.0 GBFits28K60K
Q4_K_M7.63 GBFits45K96K
IQ3_XXS5.59 GBFits61K126K
IQ2_XS3.89 GBFits73K152K

humanizer-GGUF on other hardware

Popular models that run on RTX 5080

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.