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Google releases Gemma 4 open models

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Re: Google releases Gemma 4 open models

#431

Post by logicallee »

If anyone here is interested in its creative writing style, I gave both the 10 GB and 20 GB models the prompt "write a short story", here the results: [1]

They don't really have the structure of a short story, though the 20 GB model is more interesting and has two characters rather than just one character.

In another comment, I gave them coding tasks, if you want to see how fast it does at coding (on a 24 GB Mac Mini M4 with 10 cores) you can watch me livestream this here: [2]

Both models completed the fairly complex coding task well.

[1] https://pastebin.com/ZcWv6Hkb

[2] https://www.youtube.com/live/G5OVcKO70ns

Re: Google releases Gemma 4 open models

#433

Post by ManlyBread »

canyon289 wrote: post #51

Hi all! I work on the Gemma team, one of many as this one was a bigger effort given it was a mainline release. Happy to answer whatever questions I can

Can you provide any non-benchmark examples of clear improvements? I'm talking about something that would make a casual user go "woah this is so much better than what we had previously".

Re: Google releases Gemma 4 open models

#434

Post by Schekin »

logicallee wrote: post #117
canyon289 wrote: post #51

Hi all! I work on the Gemma team, one of many as this one was a bigger effort given it was a mainline release. Happy to answer whatever questions I can

Do any of you use this as a replacement for Claude Code? For example, you might use it with openclaw. I have a 24 GB integrated RAM Mac Mini M4 I currently run Claude Code on, do you think I can replace it with OpenClaw and one of these models?

This matches my experience.

The weights usually arrive before the runtime stack fully catches up.

I tried Gemma locally on Apple Silicon yesterday — promising model, but Ollama felt like more of a bottleneck than the model itself.

I had noticeably better raw performance with mistralrs (i find it on reddit then github), but the coding/tool-use workflow felt weaker. So the tradeoff wasn’t really model quality — it was runtime speed vs workflow maturity.

Re: Google releases Gemma 4 open models

#435

Post by g947o »

stavros wrote: post #344
g947o wrote: post #335

Earlier quoted context omitted.

*8 months That doesn't make parent's claim true or even relevant. And OpenAI could release an open model tomorrow. Nobody knows.

Anybody could release an open model tomorrow. Google is the only US based lab releasing open weights models. OpenAI released one once, which might or might not count as "releasing", depending on your definition

> OpenAI released one once

You forgot the GPT-2 that came long before that. OpenAI was the lab that releases open models.

None of this is factually correct, that is it. I don't think this is debatable. I don't love OpenAI, but OpenAI made huge contributions to the field, and one should give credit where credit is due.

I have great trouble understanding why someone would waste time defending it.

Re: Google releases Gemma 4 open models

#436

Post by j45 »

mike_hearn wrote: post #265
whimblepop wrote: post #88

Earlier quoted context omitted.

I recently canceled my Google One subscription because getting accurate answers out of Gemini for chat is basically impossible afaict. Whether I enable thinking makes no difference: Gemini always answers me super quickly, rarely actually looks something up, and lies to me. It has a really bad unchecked hallucination problem because it prioritizes speed over accuracy and (astonishingly, to me) is way more hesitant to…

My wife was amazed to discover that Gemini recommended to her a local business that turned out to be in another country, and then after she checked and corrected it, it recommended a second that was marked as permanently closed on Google Maps. ChatGPT got it right first time. Baffling.

ChatGPT has more time correcting those things.

Re: Google releases Gemma 4 open models

#438

Post by mike_hearn »

j45 wrote: post #436
mike_hearn wrote: post #265

Earlier quoted context omitted.

My wife was amazed to discover that Gemini recommended to her a local business that turned out to be in another country, and then after she checked and corrected it, it recommended a second that was marked as permanently closed on Google Maps. ChatGPT got it right first time. Baffling.

ChatGPT has more time correcting those things.

This was the Gemini chat interface! It just didn't seem to be connected to Google Maps
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