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Can I run Qwen3.8-27B-pi-GGUF on an RTX 5090?

Yes

Its Q6_K file (22.1 GB) fits in the 28.8 GB an RTX 5090 can use, with room for ≈ 98K tokens of context.

Full analysis of Qwen3.8-27B-pi-GGUF Everything that runs on RTX 5090 Get the Q6_K file on Hugging Face
ollama run hf.co/bytkim/Qwen3.8-27B-pi-GGUF:Q6_K

Files and context on RTX 5090

Each file of Qwen3.8-27B-pi-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 5090 Context (16-bit)Context (8-bit)
BF1653.8 GBDoesn't fit——
Q8_028.6 GBDoesn't fit7671K
Q6_K22.1 GBFits98K196K
Q5_K_M19.2 GBFits140K256K
Q5_K_S18.7 GBFits149K256K
Q4_K_M16.5 GBFits180K256K
IQ4_NL15.8 GBFits191K256K
Q4_K_S15.6 GBFits195K256K
IQ4_XS15.1 GBFits202K256K
Q3_K_L14.3 GBFits213K256K
Q3_K_M13.3 GBFits229K256K
IQ3_M12.6 GBFits239K256K
Q3_K_S12.1 GBFits247K256K
IQ3_XS12.0 GBFits249K256K
Q2_K10.7 GBFits256K256K
IQ2_M10.0 GBFits256K256K
IQ2_S9.36 GBFits256K256K
IQ2_XS9.09 GBFits256K256K

Qwen3.8-27B-pi-GGUF on other hardware

Popular models that run on RTX 5090

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.