Can I run DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF on an NVIDIA B300?

Yes

Its IQ2_XS file (155 GB) fits in the 259 GB an NVIDIA B300 can use, with room for an unknown amount of context. That file is under 3 bits per weight, so expect noticeably lower quality.

Full analysis of DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF Everything that runs on NVIDIA B300 Get the IQ2_XS file on Hugging Face

llama-server -hf ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF:IQ2_XS

Files and context on NVIDIA B300

Each file of DeepSeek-V4.1-Flash-1017-GSQ-RCO-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 B300	Context (16-bit)	Context (8-bit)
IQ2_XS	155 GB	Fits	not known	not known
IQ2_XXS	138 GB	Fits	not known	not known
IQ1_M	121 GB	Fits	not known	not known
IQ4_NL	111 GB	Fits	not known	not known

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

Popular models that run on NVIDIA B300

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.