Can I run Ornith-1.5-122B-GGUF on an NVIDIA B200?

Yes, just

Its Q8_0 file (133 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-122B-GGUF Everything that runs on NVIDIA B200 Get the Q8_0 file on Hugging Face

llama-server -hf unsloth/Ornith-1.5-122B-GGUF:Q8_0

Files and context on NVIDIA B200

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.

File	Size	On NVIDIA B200	Context (16-bit)	Context (8-bit)
BF16	249 GB	Doesn't fit	—	—
Q8_0	133 GB	Tight	256K	256K
UD-Q6_K_XL	114 GB	Fits	256K	256K
UD-Q5_K_XL	94.6 GB	Fits	256K	256K
UD-Q4_K_XL	79.7 GB	Fits	256K	256K
UD-Q3_K_XL	59.8 GB	Fits	256K	256K
UD-IQ3_XXS	49.5 GB	Fits	256K	256K
UD-Q2_K_XL	44.5 GB	Fits	256K	256K
UD-IQ2_XXS	42.0 GB	Fits	256K	256K
UD-IQ1_M	40.4 GB	Fits	256K	256K

Ornith-1.5-122B-GGUF on other hardware

Popular models that run on NVIDIA B200

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.