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Gemma 4 on iPhone

apps.apple.com

241–250 of 267 posts

Re: Gemma 4 on iPhone

#241
post #227

Earlier quoted context omitted.

You can look at open source models hosted by various companies that have no reason to host them on a loss.

Uber ran their ridesharing at a loss for years. This is a very common way to gain market share.

What market share? We are talking commodity models where the host does not matter at all at OpenRouter etc.

Re: Gemma 4 on iPhone

#242
post #234

The cooperation of Apple and Google is going to crush the competition: https://blog.google/company-news/inside-google/company-annou... The combination of Apples hardware and Googles software is unbeatable.

With Google's graveyard and Apple's walled garden, nothing can stop the enshittification train from trundling down the tracks.

Re: Gemma 4 on iPhone

#244

It doesn’t render Markdown or LaTeX. The scrolling is unusable during generation. E4B failed to correctly account for convection and conduction when reasoning about the effects of thermal radiation (31b was very good). After 3 questions in a session (with thinking) E4B went off the rails and started emitting nonsense fragment before the stated token limit was hit (unless it isn’t actually checking).

They have very limited capabilities compared to bigger more complex models, but for general stuff, they are fantastic. We need to set the expectations correctly of what they can do, I know lots of hype around Gemma 4, even though Qwen3.5 outperformed it. It's just a reliable overall small model, with great small model abilities.

Re: Gemma 4 on iPhone

#245
post #97

Earlier quoted context omitted.

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...

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.

Depends on the phone, I have trouble fitting models into memory on my iPhone 13 before iOS kills the app. I imagine newer phones with more RAM don’t have this issue especially with some new flagship phones having 16+ GB of memory

Re: Gemma 4 on iPhone

#247
post #237

Earlier quoted context omitted.

Two (very quick) minutes on their GitHub repo and it's pretty obvious that they're using firebase-analytics and at the very least seem to be sending URLs[1] and infos such as the model you download or the capacities[2] you use. [1] https://github.com/google-ai-edge/gallery/blob/main/Android/... [2] https://github.com/google-ai-edge/gallery/blob/main/Android/...

That’s not the same app as posted which is for iOS.

You're right, they reference IOS in the README.md and link to the GitHub repo from the Apple Store page yet don't include the IOS source, sneaky.

Re: Gemma 4 on iPhone

#248
I hope they add a web search tool to the agent skills too. Most of my llm usage on my phone are just quick lookups and search summarizations. Would love to do these with a local model rather than Google AI mode of any other cloud based inference tools.

Re: Gemma 4 on iPhone

#249
post #234

The cooperation of Apple and Google is going to crush the competition: https://blog.google/company-news/inside-google/company-annou... The combination of Apples hardware and Googles software is unbeatable.

Isn't their competition (at least in the mobile space) google/android themselves?

Re: Gemma 4 on iPhone

#250

Earlier quoted context omitted.

Yeah definitely a skill issue downloading and running the app and it crashing on startup. Just gotta skillfully press the icon I guess.

Out of curiosity, do you have anything running on port 8000? Maybe it's not gracefully handling a port collision.

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