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Can I run Qwen3.8-Flash-Next-GGUF on an NVIDIA B200?

Yes

Its IQ4_NL file (102 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.8-Flash-Next-GGUF Everything that runs on NVIDIA B200 Get the IQ4_NL file on Hugging Face
llama-server -hf ggml-org/Qwen3.8-Flash-Next-GGUF:IQ4_NL

Files and context on NVIDIA B200

Each file of 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 B200 Context (16-bit)Context (8-bit)
Q8_0163 GBDoesn't fit——
IQ4_NL102 GBFits256K256K

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

Popular models that run on NVIDIA B200

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.