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

Can I run MiniCPM5-2B on an NVIDIA H100?

Yes

Its published weights (5.03 GB) fit in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 128K tokens of context.

Full analysis of MiniCPM5-2B Everything that runs on NVIDIA H100 Get the weights on Hugging Face
hf download openbmb/MiniCPM5-2B

Files and context on NVIDIA H100

Each file of MiniCPM5-2B (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 H100 Context (16-bit)Context (8-bit)
As published5.03 GBFits128K128K
F16openbmb/MiniCPM5-2B-GGUF5.04 GBFits128K128K
Q8_0openbmb/MiniCPM5-2B-GGUF2.68 GBFits128K128K
Q4_K_Mopenbmb/MiniCPM5-2B-GGUF1.56 GBFits128K128K

MiniCPM5-2B on other hardware

Popular models that run on NVIDIA H100

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.