Can I run Nanbeige4.3-33B-GGUF on an NVIDIA H100?

Yes

Its Q8_0 file (35.2 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 169K tokens of context.

Full analysis of Nanbeige4.3-33B-GGUF Everything that runs on NVIDIA H100 Get the Q8_0 file on Hugging Face

ollama run hf.co/AtomicChat/Nanbeige4.3-33B-GGUF:Q8_0

Files and context on NVIDIA H100

Each file of Nanbeige4.3-33B-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 H100	Context (16-bit)	Context (8-bit)
Q8_0	35.2 GB	Fits	169K	337K
Q6_K	30.1 GB	Fits	192K	384K
Q5_K	27.9 GB	Fits	202K	404K
Q5_K_M	24.7 GB	Fits	217K	434K
Nanbeige4.3-33B-Q5_K_M	23.5 GB	Fits	222K	445K
Nanbeige4.3-33B-AD-Q5_K_M-Q4_K_M	22.6 GB	Fits	226K	453K
Q4_K_M	21.2 GB	Fits	233K	466K
IQ4_XS	20.3 GB	Fits	237K	474K
IQ3_S	17.1 GB	Fits	252K	504K
IQ3_XXS	14.9 GB	Fits	262K	512K
IQ2_S	13.7 GB	Fits	267K	512K

Nanbeige4.3-33B-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.