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

Can I run Ornith-1.5-9B-GGUF on an NVIDIA H100?

Yes

Its BF16 file (18.4 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-9B-GGUF Everything that runs on NVIDIA H100 Get the BF16 file on Hugging Face
ollama run hf.co/ornith-ai/Ornith-1.5-9B-GGUF:BF16

Files and context on NVIDIA H100

Each file of Ornith-1.5-9B-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 H100 Context (16-bit)Context (8-bit)
BF1618.4 GBFits256K256K
Q8_09.79 GBFits256K256K
Q6_K7.56 GBFits256K256K
Q5_K_M6.64 GBFits256K256K
Q4_K_M5.78 GBFits256K256K

Ornith-1.5-9B-GGUF 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.