I dunno, feels a bit unfair to companies that actually do FOSS releases (Gemma 4 being released under Apache 2.0 license) to compare them to a company that never done any FOSS releases, and mostly done proprietary "available to download" releases.

Every other Google model I have tried felt very weak compared to qwen models. I dont have a ton of use case for multimodal though, so its very possible this is a fantastic multimodal model.

IDK this model release is a bit disappointing considering the community has been chomping at the bit for the 124ba4b model. There was some leaked info about it but people suspect it was not released because it was too close to gemini flash in performance.

It also says it is supposed to be available in their own Edge Gallery app and it’s not there (on iOS).

This comment has me a bit confused.

Consumers were complaining about the standard 8GB with the early 2020 refresh of MacBook Pros, many OSes ago. Sure, it might be workable for many tasks (as evidenced by the recent sales of the MacBook Neo), but users with a mere 8GB shouldn't have expectations of LLM performance. Even 16GB feels like a stretch.

I have 24 gb unified memory so it’s a good model for me

There's a comparison of all the Gemma 4 models (+ Gemma 3 27B) on the Huggingface model card: https://huggingface.co/google/gemma-4-12B-it#benchmark-resul...

That's what I want to know too. A smarter E4B that's happy in opencode would be a good selfhosted model for me