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Can I run Nanbeige_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 Nanbeige_Nanbeige4.3-33B-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face
ollama run hf.co/bartowski/Nanbeige_Nanbeige4.3-33B-GGUF:Q8_0

Files and context on RTX 6000 Ada

Each file of Nanbeige_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)
BF1666.2 GBDoesn't fit——
Q8_035.2 GBTight37K73K
Q6_K_L30.4 GBFits59K117K
Q6_K29.0 GBFits65K130K
Q6_K_S27.8 GBFits71K142K
Q5_K_M25.1 GBFits83K166K
Q5_K_S23.7 GBFits90K179K
Q4_K_L22.3 GBFits96K191K
Q4_121.2 GBFits101K202K
IQ4_NL20.9 GBFits102K205K
Q4_K_M20.8 GBFits103K206K
Q4_K_S19.7 GBFits108K215K
Q4_019.3 GBFits109K219K
IQ4_XS18.6 GBFits113K225K
IQ3_M17.8 GBFits116K233K
Q3_K_L17.3 GBFits119K238K
Q3_K_M15.9 GBFits125K250K
IQ3_XS15.2 GBFits128K257K
Q3_K_S15.2 GBFits128K257K
IQ3_XXS14.5 GBFits132K263K
Q2_K13.5 GBFits136K272K
IQ2_M12.2 GBFits142K284K
IQ2_S11.2 GBFits147K294K
IQ2_XS10.6 GBFits149K299K
IQ2_XXS10.1 GBFits152K304K

Nanbeige_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.