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

Can I run ESFT-token-translation-lite on a Radeon RX 7900 XTX?

Yes

Its published weights (1.73 GB) fit in the 21.6 GB a Radeon RX 7900 XTX can use, with room for an unknown amount of context.

Full analysis of ESFT-token-translation-lite Everything that runs on Radeon RX 7900 XTX Get the weights on Hugging Face
hf download deepseek-ai/ESFT-token-translation-lite

Files and context on Radeon RX 7900 XTX

Each file of ESFT-token-translation-lite (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 Radeon RX 7900 XTX Context (16-bit)Context (8-bit)
As published1.73 GBFitsnot knownnot known
4-bit (estimate)487 MBFitsnot knownnot known

ESFT-token-translation-lite on other hardware

Popular models that run on Radeon RX 7900 XTX

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.