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Can I run Nanbeige4.3-33B-GGUF on an RTX 6000 Ada?

Yes, just

Its Q8_0 file (35.2 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 37K tokens of context.

Full analysis of Nanbeige4.3-33B-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face
ollama run hf.co/AtomicChat/Nanbeige4.3-33B-GGUF:Q8_0

Files and context on RTX 6000 Ada

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.

FileSizeOn RTX 6000 Ada Context (16-bit)Context (8-bit)
Q8_035.2 GBTight37K73K
Q6_K30.1 GBFits60K120K
Q5_K27.9 GBFits70K140K
Q5_K_M24.7 GBFits85K170K
Nanbeige4.3-33B-Q5_K_M23.5 GBFits90K181K
Nanbeige4.3-33B-AD-Q5_K_M-Q4_K_M22.6 GBFits94K189K
Q4_K_M21.2 GBFits101K202K
IQ4_XS20.3 GBFits105K210K
IQ3_S17.1 GBFits120K240K
IQ3_XXS14.9 GBFits130K259K
IQ2_S13.7 GBFits135K270K

Nanbeige4.3-33B-GGUF on other hardware

Popular models that run on RTX 6000 Ada

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.