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Can I run endless-frontier_BigBang-v1-GGUF on an NVIDIA H100?

Yes, just

Its BF16 file (71.1 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 41K tokens of context.

Full analysis of endless-frontier_BigBang-v1-GGUF Everything that runs on NVIDIA H100 Get the BF16 file on Hugging Face
llama-server -hf bartowski/endless-frontier_BigBang-v1-GGUF:BF16

Files and context on NVIDIA H100

Each file of endless-frontier_BigBang-v1-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 NVIDIA H100 Context (16-bit)Context (8-bit)
BF1671.1 GBTight41K83K
Q8_037.8 GBFits256K256K
Q6_K_L30.8 GBFits256K256K
Q6_K30.5 GBFits256K256K
Q5_K_L25.8 GBFits256K256K
Q5_K_M25.5 GBFits256K256K
Q5_K_S24.6 GBFits256K256K
Q4_122.4 GBFits256K256K
Q4_K_L22.2 GBFits256K256K
Q4_K_M21.9 GBFits256K256K
Q4_K_S21.1 GBFits256K256K
Q4_020.4 GBFits256K256K
IQ4_NL20.3 GBFits256K256K
IQ4_XS19.3 GBFits256K256K
Q3_K_XL17.8 GBFits256K256K
IQ3_M17.4 GBFits256K256K
Q3_K_L17.4 GBFits256K256K
Q3_K_M16.7 GBFits256K256K
IQ3_XS16.7 GBFits256K256K
Q3_K_S16.0 GBFits256K256K
IQ3_XXS15.3 GBFits256K256K
Q2_K_L13.6 GBFits256K256K
Q2_K13.1 GBFits256K256K
IQ2_M12.5 GBFits256K256K
IQ2_S11.5 GBFits256K256K
IQ2_XS11.3 GBFits256K256K
IQ2_XXS10.3 GBFits256K256K

endless-frontier_BigBang-v1-GGUF on other hardware

Popular models that run on NVIDIA H100

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.