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Can I run Ornith-1.5-9B on an RTX 5060?

Yes, with a GGUF version

The published weights are too big, but the Q5_K_M file from ornith-ai/Ornith-1.5-9B-GGUF (6.64 GB) fits, with room for ≈ 15K tokens of context.

Full analysis of Ornith-1.5-9B Everything that runs on RTX 5060 Get the Q5_K_M file on Hugging Face
ollama run hf.co/ornith-ai/Ornith-1.5-9B-GGUF:Q5_K_M

Files and context on RTX 5060

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.

FileSizeOn RTX 5060 Context (16-bit)Context (8-bit)
As published19.3 GBDoesn't fit——
BF16ornith-ai/Ornith-1.5-9B-GGUF18.4 GBDoesn't fit——
Q8_0ornith-ai/Ornith-1.5-9B-GGUF9.79 GBDoesn't fit——
Q6_Kornith-ai/Ornith-1.5-9B-GGUF7.56 GBDoesn't fit——
Q5_K_Mornith-ai/Ornith-1.5-9B-GGUF6.64 GBTight15K30K
Q4_K_Mornith-ai/Ornith-1.5-9B-GGUF5.78 GBTight41K82K

Ornith-1.5-9B on other hardware

Popular models that run on RTX 5060

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.