Can I run DiarizationLM-Gemma-4-E4B-v1 on an RTX 5090?

Yes

Its published weights (16.0 GB) fit in the 28.8 GB an RTX 5090 can use, with room for ≈ 128K tokens of context.

Full analysis of DiarizationLM-Gemma-4-E4B-v1 Everything that runs on RTX 5090 Get the weights on Hugging Face

hf download google/DiarizationLM-Gemma-4-E4B-v1

Files and context on RTX 5090

Each file of DiarizationLM-Gemma-4-E4B-v1 (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	16.0 GB	Fits	128K	128K
4-bit (estimate)	4.50 GB	Fits	128K	128K

DiarizationLM-Gemma-4-E4B-v1 on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBProbably, at 4-bit
RTX 3060 12 GBProbably, at 4-bit
RTX 4060Probably, at 4-bit
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.