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Can I run Swift-Qwen3.8-27B-GGUF on an NVIDIA H100?

Yes

Its F16 file (54.7 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 256K tokens of context.

Full analysis of Swift-Qwen3.8-27B-GGUF Everything that runs on NVIDIA H100 Get the F16 file on Hugging Face
llama-server -hf ukisai/Swift-Qwen3.8-27B-GGUF:F16

Files and context on NVIDIA H100

Each file of Swift-Qwen3.8-27B-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 NVIDIA H100 Context (16-bit)Context (8-bit)
F1654.7 GBFits256K256K
Q8_029.1 GBFits256K256K
Q6_K_L25.2 GBFits256K256K
Q6_K_S23.1 GBFits256K256K
Q6_K22.9 GBFits256K256K
Q5_K_M20.2 GBFits256K256K
Q5_K_S19.8 GBFits256K256K
Q4_K_L19.0 GBFits256K256K
Q4_K_M18.0 GBFits256K256K
IQ4_NL17.7 GBFits256K256K
Q4_117.5 GBFits256K256K
Q4_K_S16.6 GBFits256K256K
Q4_016.0 GBFits256K256K
IQ4_XS15.7 GBFits256K256K
IQ3_M15.1 GBFits256K256K
Q3_K_L14.3 GBFits256K256K
Q3_K_M13.6 GBFits256K256K
IQ3_XS13.0 GBFits256K256K
Q3_K_S13.0 GBFits256K256K
IQ3_XXS12.5 GBFits256K256K
Q2_K11.0 GBFits256K256K
IQ2_M10.7 GBFits256K256K
IQ2_S9.90 GBFits256K256K
IQ2_XS9.30 GBFits256K256K
IQ2_XXS9.09 GBFits256K256K

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

Popular models that run on NVIDIA H100

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.