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Gemma 3 Technical Report [pdf]

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Re: Gemma 3 Technical Report [pdf]

#2
Gemma 3 is out! Multimodal (image + text), 128K context, supports 140+ languages, and comes in 1B, 4B, 12B, and 27B sizes with open weights & commercial use.

Gemma 3 model overview: https://ai.google.dev/gemma/docs/core

Huggingface collection: https://huggingface.co/collections/google/gemma-3-release-67...

ollama: https://ollama.com/library/gemma3

Re: Gemma 3 Technical Report [pdf]

#3
> We also change the architecture of the model to reduce the KV-cache memory that tends to ex plo de with long context

This is key (pun not intended). It's one thing to run these models locally; it's a totally different game when you need longer context.

Sure, the new M3 Ultra can fit a Q4 DeepSeek r1 in URAM, but as soon as you wanna get usable context like +64k, the t/s and PP quickly become prohibitive.

Speaking of M3 Ultra, I really wish Apple had put more bandwidth in this beast of a machine. It's got a lot of "energy", not a lot of "power" to actually use that energy.

Re: Gemma 3 Technical Report [pdf]

#10
post #8

Someone knows whether there is support for multiple images as input ? I don't see it from the docs yet.

Yes

> If you want to prompt with more than one image, you must include a tag for each image included in your prompt.

From here: https://github.com/google/generative-ai-docs/blob/78688755db...

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