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Can I run Qwen3.5-9B-GGUF on an RTX 5090?

Yes

Its BF16 file (17.9 GB) fits in the 28.8 GB an RTX 5090 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.5-9B-GGUF Everything that runs on RTX 5090 Get the BF16 file on Hugging Face
ollama run hf.co/unsloth/Qwen3.5-9B-GGUF:BF16

Files and context on RTX 5090

Each file of Qwen3.5-9B-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)
BF1617.9 GBFits256K256K
UD-Q8_K_XL13.0 GBFits256K256K
Q8_09.53 GBFits256K256K
UD-Q6_K_XL8.76 GBFits256K256K
Q6_K7.46 GBFits256K256K
UD-Q5_K_XL6.74 GBFits256K256K
Q5_K_M6.58 GBFits256K256K
Q5_K_S6.36 GBFits256K256K
UD-Q4_K_XL5.97 GBFits256K256K
Q4_15.84 GBFits256K256K
Q4_K_M5.68 GBFits256K256K
Q4_K_S5.39 GBFits256K256K
Q4_05.38 GBFits256K256K
IQ4_NL5.37 GBFits256K256K
IQ4_XS5.17 GBFits256K256K
UD-Q3_K_XL5.05 GBFits256K256K
Q3_K_M4.67 GBFits256K256K
Q3_K_S4.32 GBFits256K256K
UD-Q2_K_XL4.12 GBFits256K256K
UD-IQ3_XXS4.02 GBFits256K256K
UD-IQ2_M3.65 GBFits256K256K
UD-IQ2_XXS3.19 GBFits256K256K

Qwen3.5-9B-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.