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Can I run Qwen2.5-32B-Instruct-GGUF on an RTX 6000 Ada?

Yes, just

Its Q8_0 file (34.8 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 31K tokens of context.

Full analysis of Qwen2.5-32B-Instruct-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face
ollama run hf.co/bartowski/Qwen2.5-32B-Instruct-GGUF:Q8_0

Files and context on RTX 6000 Ada

Each file of Qwen2.5-32B-Instruct-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)
F1665.5 GBDoesn't fit——
Q8_034.8 GBTight31K32K
Q6_K_L27.3 GBFits32K32K
Q6_K26.9 GBFits32K32K
Q5_K_L23.7 GBFits32K32K
Q5_K_M23.3 GBFits32K32K
Q5_K_S22.6 GBFits32K32K
Q4_K_L20.4 GBFits32K32K
Q4_K_M19.9 GBFits32K32K
Q4_K_S18.8 GBFits32K32K
Q4_018.7 GBFits32K32K
Qwen2.5-32B-Instruct-Q4_0_4_418.6 GBFits32K32K
Qwen2.5-32B-Instruct-Q4_0_4_818.6 GBFits32K32K
Qwen2.5-32B-Instruct-Q4_0_8_818.6 GBFits32K32K
Q3_K_XL17.9 GBFits32K32K
IQ4_XS17.7 GBFits32K32K
Q3_K_L17.2 GBFits32K32K
Q3_K_M15.9 GBFits32K32K
IQ3_M14.8 GBFits32K32K
Q3_K_S14.4 GBFits32K32K
IQ3_XS13.7 GBFits32K32K
Q2_K_L13.1 GBFits32K32K
Q2_K12.3 GBFits32K32K
IQ2_M11.3 GBFits32K32K
IQ2_S10.4 GBFits32K32K
IQ2_XS9.96 GBFits32K32K
IQ2_XXS9.03 GBFits32K32K

Qwen2.5-32B-Instruct-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.