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

Can I run Qwen3.8-Flash-Next-oQ4e-mtp on an RTX 5090?

No

Even its smallest file (As published, 106 GB) is more than an RTX 5090 can hold (28.8 GB usable): it needs 4 of them.

Full analysis of Qwen3.8-Flash-Next-oQ4e-mtp Everything that runs on RTX 5090

Files and context on RTX 5090

Each file of Qwen3.8-Flash-Next-oQ4e-mtp (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 5090 Context (16-bit)Context (8-bit)
As published106 GBDoesn't fit——

Qwen3.8-Flash-Next-oQ4e-mtp on other hardware

Popular models that run on RTX 5090

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.