I haven't seen anybody else post it in this thread, but this is running on 8GB of RAM. It's not the full Gemma 4 32B model. It's a completely different thing from the full Gemma 4 experience if you were running the flagship model, almost to the point of being misleading.

It's their E2B and E4B variants (so 2B and 4B but also quantized)

https://ai.google.dev/gemma/docs/core/model_card_4#dense_mod...

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zozbot234 4 hours ago | parent [-]

The relevant constraint when running on a phone is power, not really RAM footprint. Running the tiny E2B/E4B models makes sense, this is essentially what they're designed for.

	▲	trvz 32 minutes ago \| parent [-]
		It absolutely is RAM… So much so that this was what made Apple increase their base sizes.