Can I run Ornith-1.5-9B-GGUF on an NVIDIA H200?

Yes

Its BF16 file (18.4 GB) fits in the 127 GB an NVIDIA H200 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-9B-GGUF Everything that runs on NVIDIA H200 Get the BF16 file on Hugging Face

ollama run hf.co/ornith-ai/Ornith-1.5-9B-GGUF:BF16

Files and context on NVIDIA H200

Each file of Ornith-1.5-9B-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.

File	Size	On NVIDIA H200	Context (16-bit)	Context (8-bit)
BF16	18.4 GB	Fits	256K	256K
Q8_0	9.79 GB	Fits	256K	256K
Q6_K	7.56 GB	Fits	256K	256K
Q5_K_M	6.64 GB	Fits	256K	256K
Q4_K_M	5.78 GB	Fits	256K	256K

Ornith-1.5-9B-GGUF on other hardware

NVIDIA H200Yes
NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes, just
RTX 3090Yes, just
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes, just
RTX 4060Yes, just
Mac with 32 GBYes, just
Mac with 64 GBYes
Mac with 128 GBYes

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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.