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

Can I run DeepSeek-V4-Pro-Qwen3.5-4B-UNCENSORED-heretic on an NVIDIA B200?

Yes

Its published weights (9.32 GB) fit in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of DeepSeek-V4-Pro-Qwen3.5-4B-UNCENSORED-heretic Everything that runs on NVIDIA B200 Get the weights on Hugging Face
hf download xtools-at/DeepSeek-V4-Pro-Qwen3.5-4B-UNCENSORED-heretic

Files and context on NVIDIA B200

Each file of DeepSeek-V4-Pro-Qwen3.5-4B-UNCENSORED-heretic (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)
As published9.32 GBFits256K256K
4-bit (estimate)2.62 GBFits256K256K

DeepSeek-V4-Pro-Qwen3.5-4B-UNCENSORED-heretic 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.