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Can I run Ornith-1.5-397B-GGUF on an NVIDIA B300?

Yes, just

Its Q4_K_M file (244 GB) fits in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-397B-GGUF Everything that runs on NVIDIA B300 Get the Q4_K_M file on Hugging Face
ollama run hf.co/ornith-ai/Ornith-1.5-397B-GGUF:Q4_K_M

Files and context on NVIDIA B300

Each file of Ornith-1.5-397B-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)
Q8_0429 GBDoesn't fit——
Q6_K331 GBDoesn't fit——
Q5_K_M286 GBDoesn't fit——
Q4_K_M244 GBTight256K256K

Ornith-1.5-397B-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.