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

Can I run HunyuanOCR on an RTX 6000 Ada?

Yes

Its published weights (2.24 GB) fit in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 128K tokens of context.

Full analysis of HunyuanOCR Everything that runs on RTX 6000 Ada Get the weights on Hugging Face
hf download tencent/HunyuanOCR

Files and context on RTX 6000 Ada

Each file of HunyuanOCR (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 6000 Ada Context (16-bit)Context (8-bit)
As published2.24 GBFits128K128K
4-bit (estimate)630 MBFits128K128K

HunyuanOCR on other hardware

Popular models that run on RTX 6000 Ada

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.