Can I run Ornith-1.0-9B on an RTX 5080?

Yes, with a GGUF version

The published weights are too big, but the Q8_0 file from ornith-ai/Ornith-1.0-9B-GGUF (9.53 GB) fits, with room for ≈ 144K tokens of context.

Full analysis of Ornith-1.0-9B Everything that runs on RTX 5080 Get the Q8_0 file on Hugging Face

ollama run hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q8_0

Files and context on RTX 5080

Each file of Ornith-1.0-9B (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 RTX 5080	Context (16-bit)	Context (8-bit)
As published	18.8 GB	Doesn't fit	—	—
BF16ornith-ai/Ornith-1.0-9B-GGUF	17.9 GB	Doesn't fit	—	—
Q8_0ornith-ai/Ornith-1.0-9B-GGUF	9.53 GB	Fits	144K	256K
Q6_Kornith-ai/Ornith-1.0-9B-GGUF	7.36 GB	Fits	208K	256K
Q5_K_Mornith-ai/Ornith-1.0-9B-GGUF	6.47 GB	Fits	235K	256K
Q4_K_Mornith-ai/Ornith-1.0-9B-GGUF	5.63 GB	Fits	256K	256K

Ornith-1.0-9B on other hardware

Popular models that run on RTX 5080

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.