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Can I run Huihui-Qwen3.8-Flash-Next-abliterated-GGUF on an NVIDIA H100?

Yes, just

Its IQ2_XS file (68.2 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 148K tokens of context. That file is under 3 bits per weight, so expect noticeably lower quality.

Full analysis of Huihui-Qwen3.8-Flash-Next-abliterated-GGUF Everything that runs on NVIDIA H100 Get the IQ2_XS file on Hugging Face
llama-server -hf huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF:IQ2_XS

Files and context on NVIDIA H100

Each file of Huihui-Qwen3.8-Flash-Next-abliterated-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)
BF16354 GBDoesn't fit——
Q8_0188 GBDoesn't fit——
UD-Q4_K_XL111 GBDoesn't fit——
UD-IQ4_XS93.7 GBDoesn't fit——
IQ3_XXS76.0 GBDoesn't fit——
IQ2_XS68.2 GBTight148K256K

Huihui-Qwen3.8-Flash-Next-abliterated-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.