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

Can I run Qwen2.5-VL-32B-Instruct-AWQ on an RTX 4090?

No

Even its smallest file (As published, 20.7 GB) is more than an RTX 4090 can hold (21.6 GB usable): it needs 1 of them.

Full analysis of Qwen2.5-VL-32B-Instruct-AWQ Everything that runs on RTX 4090

Files and context on RTX 4090

Each file of Qwen2.5-VL-32B-Instruct-AWQ (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)
As published20.7 GBDoesn't fit3K7K

Qwen2.5-VL-32B-Instruct-AWQ 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.