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Can I run Swift-1.5-Qwen3.8-Flash-Next-GGUF on an NVIDIA H200?

Yes, just

Its Q4_K_M file (120 GB) fits in the 127 GB an NVIDIA H200 can use, with room for ≈ 256K tokens of context.

Full analysis of Swift-1.5-Qwen3.8-Flash-Next-GGUF Everything that runs on NVIDIA H200 Get the Q4_K_M file on Hugging Face
llama-server -hf ukisai/Swift-1.5-Qwen3.8-Flash-Next-GGUF:Q4_K_M

Files and context on NVIDIA H200

Each file of Swift-1.5-Qwen3.8-Flash-Next-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 H200 Context (16-bit)Context (8-bit)
Q8_0188 GBDoesn't fit——
Q6_K168 GBDoesn't fit——
Q5_K_L151 GBDoesn't fit——
Q4_K_L139 GBDoesn't fit——
Q5_K_M135 GBDoesn't fit——
Q5_K_S128 GBDoesn't fit——
Q4_K_M120 GBTight256K256K
Q3_K_XL119 GBTight256K256K
Q4_K_S113 GBTight256K256K
Q4_1111 GBTight256K256K
Q2_K_L107 GBTight256K256K
Q4_0101 GBFits256K256K
IQ4_NL100 GBFits256K256K
IQ4_XS97.7 GBFits256K256K
IQ3_M93.2 GBFits256K256K
Q3_K_L93.2 GBFits256K256K
Q3_K_M92.0 GBFits256K256K
IQ3_XS91.9 GBFits256K256K
Q3_K_S89.4 GBFits256K256K
IQ3_XXS88.0 GBFits256K256K
Q2_K80.9 GBFits256K256K
IQ2_M80.4 GBFits256K256K
IQ2_S77.8 GBFits256K256K
IQ2_XS77.7 GBFits256K256K
IQ2_XXS75.2 GBFits256K256K
IQ1_M72.0 GBFits256K256K
IQ1_S70.1 GBFits256K256K

Swift-1.5-Qwen3.8-Flash-Next-GGUF on other hardware

Popular models that run on NVIDIA H200

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.