Can I run Ornith-1.5-9B on an RTX 4080?

Yes, with a GGUF version

The published weights are too big, but the Q8_0 file from ornith-ai/Ornith-1.5-9B-GGUF (9.79 GB) fits, with room for ≈ 136K tokens of context.

Full analysis of Ornith-1.5-9B Everything that runs on RTX 4080 Get the Q8_0 file on Hugging Face

ollama run hf.co/ornith-ai/Ornith-1.5-9B-GGUF:Q8_0

Files and context on RTX 4080

Each file of Ornith-1.5-9B (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 4080	Context (16-bit)	Context (8-bit)
As published	19.3 GB	Doesn't fit	—	—
BF16ornith-ai/Ornith-1.5-9B-GGUF	18.4 GB	Doesn't fit	—	—
Q8_0ornith-ai/Ornith-1.5-9B-GGUF	9.79 GB	Fits	136K	256K
Q6_Kornith-ai/Ornith-1.5-9B-GGUF	7.56 GB	Fits	202K	256K
Q5_K_Mornith-ai/Ornith-1.5-9B-GGUF	6.64 GB	Fits	230K	256K
Q4_K_Mornith-ai/Ornith-1.5-9B-GGUF	5.78 GB	Fits	255K	256K

Ornith-1.5-9B on other hardware

Popular models that run on RTX 4080

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.