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

Can I run Ornith-1.5-122B-GGUF on an NVIDIA B300?

Yes, just

Its BF16 file (249 GB) fits in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-122B-GGUF Everything that runs on NVIDIA B300 Get the BF16 file on Hugging Face
ollama run hf.co/ornith-ai/Ornith-1.5-122B-GGUF:BF16

Files and context on NVIDIA B300

Each file of Ornith-1.5-122B-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 B300 Context (16-bit)Context (8-bit)
BF16249 GBTight256K256K
Q8_0133 GBFits256K256K
Q6_K102 GBFits256K256K
Q5_K_M88.7 GBFits256K256K
Q4_K_M75.8 GBFits256K256K

Ornith-1.5-122B-GGUF on other hardware

Popular models that run on NVIDIA B300

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.