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

Can I run Nanbeige4.3-33B-UNCENSORED-GGUF on an NVIDIA B200?

Yes

Its Q6_K file (27.2 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 512K tokens of context.

Full analysis of Nanbeige4.3-33B-UNCENSORED-GGUF Everything that runs on NVIDIA B200 Get the Q6_K file on Hugging Face
ollama run hf.co/dealignai/Nanbeige4.3-33B-UNCENSORED-GGUF:Q6_K

Files and context on NVIDIA B200

Each file of Nanbeige4.3-33B-UNCENSORED-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)
Q6_K27.2 GBFits512K512K
Q4_K_M20.1 GBFits512K512K
IQ2_XXS9.33 GBFits512K512K

Nanbeige4.3-33B-UNCENSORED-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.