Can I run OpenELM-1_1B-Instruct on an RTX 5090?

Yes

Its published weights (2.16 GB) fit in the 28.8 GB an RTX 5090 can use, with room for an unknown amount of context.

Full analysis of OpenELM-1_1B-Instruct Everything that runs on RTX 5090 Get the weights on Hugging Face

hf download apple/OpenELM-1_1B-Instruct

Files and context on RTX 5090

Each file of OpenELM-1_1B-Instruct (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 5090	Context (16-bit)	Context (8-bit)
As published	2.16 GB	Fits	not known	not known
4-bit (estimate)	607 MB	Fits	not known	not known

OpenELM-1_1B-Instruct on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

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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.