Can I run MiniCPM-SALA-AWQ-8bit on an NVIDIA H100?

Yes

Its published weights (10.6 GB) fit in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 512K tokens of context.

Full analysis of MiniCPM-SALA-AWQ-8bit Everything that runs on NVIDIA H100 Get the weights on Hugging Face

hf download cyankiwi/MiniCPM-SALA-AWQ-8bit

Files and context on NVIDIA H100

Each file of MiniCPM-SALA-AWQ-8bit (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.

File	Size	On NVIDIA H100	Context (16-bit)	Context (8-bit)
As published	10.6 GB	Fits	512K	512K
4-bit (estimate)	5.33 GB	Fits	512K	512K

MiniCPM-SALA-AWQ-8bit on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes, just
RTX 4060Probably, at 4-bit
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on NVIDIA H100

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Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

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.