Can I run DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-Coder-GGUF on an NVIDIA B200?

Yes

Its IQ4_NL file (111 GB) fits in the 162 GB an NVIDIA B200 can use, with room for an unknown amount of context.

Full analysis of DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-Coder-GGUF Everything that runs on NVIDIA B200 Get the IQ4_NL file on Hugging Face

ollama run hf.co/Abiray/DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-Coder-GGUF:IQ4_NL

Files and context on NVIDIA B200

Each file of DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-Coder-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.

File	Size	On NVIDIA B200	Context (16-bit)	Context (8-bit)
IQ4_NL	111 GB	Fits	not known	not known
IQ2_XXS	72.1 GB	Fits	not known	not known

DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-Coder-GGUF on other hardware

NVIDIA B200Yes
NVIDIA H100No
RTX 5090No
RTX 4090No
RTX 3090No
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBNo
Mac with 64 GBNo
Mac with 128 GBYes

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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.