Can I run Ornith-1.5-9B-UNCENSORED-GGUF on an NVIDIA B200?

Yes

Its Q8_0 file (9.53 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-9B-UNCENSORED-GGUF Everything that runs on NVIDIA B200 Get the Q8_0 file on Hugging Face

ollama run hf.co/dealignai/Ornith-1.5-9B-UNCENSORED-GGUF:Q8_0

Files and context on NVIDIA B200

Each file of Ornith-1.5-9B-UNCENSORED-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)
Q8_0	9.53 GB	Fits	256K	256K
Q6_K	7.36 GB	Fits	256K	256K
Q5_K_M	6.47 GB	Fits	256K	256K
Q4_K_M	5.63 GB	Fits	256K	256K
Q3_K_M	4.62 GB	Fits	256K	256K
Q2_K	3.83 GB	Fits	256K	256K

Ornith-1.5-9B-UNCENSORED-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.