Model Anatomy See what's inside open-weight AI models

Can I run DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-GGUF on an RTX 4090?

No

Even its smallest file (IQ1_M, 121 GB) is more than an RTX 4090 can hold (21.6 GB usable): it needs 6 of them.

Full analysis of DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-GGUF Everything that runs on RTX 4090

Files and context on RTX 4090

Each file of DeepSeek-V4.1-Flash-1017-Uncensored-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.

FileSizeOn RTX 4090 Context (16-bit)Context (8-bit)
IQ2_XS155 GBDoesn't fit——
IQ2_XXS138 GBDoesn't fit——
IQ1_M121 GBDoesn't fit——

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

Popular models that run on RTX 4090

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.