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Can I run Ornith-1.5-122B-GGUF on an NVIDIA H200?

Yes, just

Its UD-Q6_K_XL file (114 GB) fits in the 127 GB an NVIDIA H200 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-122B-GGUF Everything that runs on NVIDIA H200 Get the UD-Q6_K_XL file on Hugging Face
llama-server -hf unsloth/Ornith-1.5-122B-GGUF:UD-Q6_K_XL

Files and context on NVIDIA H200

Each file of Ornith-1.5-122B-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 H200 Context (16-bit)Context (8-bit)
BF16249 GBDoesn't fit——
Q8_0133 GBDoesn't fit——
UD-Q6_K_XL114 GBTight256K256K
UD-Q5_K_XL94.6 GBFits256K256K
UD-Q4_K_XL79.7 GBFits256K256K
UD-Q3_K_XL59.8 GBFits256K256K
UD-IQ3_XXS49.5 GBFits256K256K
UD-Q2_K_XL44.5 GBFits256K256K
UD-IQ2_XXS42.0 GBFits256K256K
UD-IQ1_M40.4 GBFits256K256K

Ornith-1.5-122B-GGUF on other hardware

Popular models that run on NVIDIA H200

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.