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Can I run Qwen3.8-27B on an RTX 5060 Ti 16 GB?

Yes, with a GGUF version

The published weights are too big, but the IQ4_XS file from byteshape/Qwen3.8-27B-GGUF (13.1 GB) fits, with room for ≈ 17K tokens of context.

Full analysis of Qwen3.8-27B Everything that runs on RTX 5060 Ti 16 GB Get the IQ4_XS file on Hugging Face
ollama run hf.co/byteshape/Qwen3.8-27B-GGUF:IQ4_XS

Files and context on RTX 5060 Ti 16 GB

Each file of Qwen3.8-27B (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 5060 Ti 16 GB Context (16-bit)Context (8-bit)
As published55.6 GBDoesn't fit——
BF16ggml-org/Qwen3.8-27B-GGUF53.8 GBDoesn't fit——
Q8_0ggml-org/Qwen3.8-27B-GGUF28.6 GBDoesn't fit——
Q4_K_Mggml-org/Qwen3.8-27B-GGUF19.0 GBDoesn't fit——
mtp-Qwen3.8-27B-BF16ggml-org/Qwen3.8-27B-GGUF5.95 GBFits124K247K
IQ4_XSbyteshape/Qwen3.8-27B-GGUF13.1 GBTight17K35K
IQ3_Sbyteshape/Qwen3.8-27B-GGUF11.0 GBFits48K96K
IQ3_XSbyteshape/Qwen3.8-27B-GGUF10.4 GBFits58K116K
IQ3_XXSbyteshape/Qwen3.8-27B-GGUF9.92 GBFits64K129K
IQ2_XXSbyteshape/Qwen3.8-27B-GGUF8.84 GBFits80K161K

Qwen3.8-27B on other hardware

Popular models that run on RTX 5060 Ti 16 GB

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.