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

Can I run POCKET-Darwin-180B-GGUF on an NVIDIA B200?

Yes

Its UD-Q4_K_XL file (111 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of POCKET-Darwin-180B-GGUF Everything that runs on NVIDIA B200 Get the UD-Q4_K_XL file on Hugging Face
llama-server -hf FINAL-Bench/POCKET-Darwin-180B-GGUF:UD-Q4_K_XL

Files and context on NVIDIA B200

Each file of POCKET-Darwin-180B-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 NVIDIA B200 Context (16-bit)Context (8-bit)
UD-Q4_K_XL111 GBFits256K256K

POCKET-Darwin-180B-GGUF on other hardware

Popular models that run on NVIDIA B200

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.