[dead]
Google releases Gemma 4 open models
81–90 of 507 posts
Re: Google releases Gemma 4 open models
#82The wait is finally over. One or two iterations, and I’ll be happy to say that language models are more than fulfilling my most common needs when self-hosting. Thanks to the Gemma team!
What sort of tasks are you using self-hosting for? Just curious as I've been watching the scene but not experimenting with self-hosting.
Adding to the Q: Any good small open-source model with a high correctness of reading/extracting Tables and/of PDFs with more uncommon layouts.
Re: Google releases Gemma 4 open models
#83I ran these in LM Studio and got unrecognizable pelicans out of the 2B and 4B models and an outstanding pelican out of the 26b-a4b model - I think the best I've seen from a model that runs on my laptop. https://simonwillison.net/2026/Apr/2/gemma-4/ The gemma-4-31b model is completely broken for me - it just spits out "---\n" no matter what prompt I feed it. I got a pelican out of it via the AI Studio API hosted model…
Do you think it's just part of their training set now?
Re: Google releases Gemma 4 open models
#84Hi 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
What was the main focus when training this model? Besides the ELO score, it's looking like the models (31B / 26B-A4) are underperforming on some of the typical benchmarks by a wide margin. Do you believe there's an issue with the tests or the results are misleading (such as comparative models benchmaxxing)?
Thank you for the release.
Re: Google releases Gemma 4 open models
#85I ran these in LM Studio and got unrecognizable pelicans out of the 2B and 4B models and an outstanding pelican out of the 26b-a4b model - I think the best I've seen from a model that runs on my laptop. https://simonwillison.net/2026/Apr/2/gemma-4/ The gemma-4-31b model is completely broken for me - it just spits out "---\n" no matter what prompt I feed it. I got a pelican out of it via the AI Studio API hosted model…
Your posting of the pelican benchmark is honestly the biggest reason I check the HackerNews comments on big new model announcements
Re: Google releases Gemma 4 open models
#86Earlier quoted context omitted.
Will larger-parameter versions be released?
We are always figuring out what parameter size makes sense. The decision is always a mix between how good we can make the models from a technical aspect, with how good they need to be to make all of you super excited to use them. And its a bit of a challenge what is an ever changing ecosystem. I'm personally curious is there a certain parameter size you're looking for?
Mainline consumer cards are 16GB, so everyone wants models they can run on their $400 GPU.
Re: Google releases Gemma 4 open models
#87Can't wait for gemma4-31b-it-claude-opus-4-6-distilled-q4-k-m on huggingface tomorrow
I'd rather see a distill on the 26B model that uses only 3.8B parameters at inference time. Seems like it will be wildly productive to use for locally-hosted stuff
Re: Google releases Gemma 4 open models
#88Google might not have the best coding models (yet) but they seem to have the most intelligent and knowledgeable models of all especially Gemini 3.1 Pro is something. One more thing about Google is that they have everything that others do not: 1. Huge data, audio, video, geospatial 2. Tons of expertise. Attention all you need was born there. 3. Libraries that they wrote. 4. Their own data centers and cloud. 4. Most of…
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 run web searches than ChatGPT or Claude.
Maybe the model is good but the product is so shitty that I can't perceive its virtues while using it. I would characterize it as pretty much unusable (including as the "Google Assistant" on my phone).
It's extremely frustrating every way that I've used it but it seems like Gemini and Gemma get nothing but praise here.
Re: Google releases Gemma 4 open models
#89Hi 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
How do the smaller models differ from what you guys will ultimately ship on Pixel phones? What's the business case for releasing Gemma and not just focusing on Gemini + cloud only?
Its hard to say because Pixel comes prepacked with a lot of models, not just ones that that are text output models.
With the caveat that I'm not on the pixel team and I'm not building _all_ the models that are on google's devices, its evident there are many models that support the Android experience. For example the one mentioned here
https://store.google.com/us/magazine/magic-editor?hl=en-US&p...
Re: Google releases Gemma 4 open models
#90Earlier quoted context omitted.
I don't know why I am downvoted but Google has data, expertise, hardware and deep pockets. This whole LLM thing is invented at Google and machine learning ecosystem libraries come from Google. I don't know how people can be so irrational discounting Google's muscle. Others have just borrowed data, money, hardware and they would run out of resources for sure.
This remains true so long as advertisers give Google money.
Why wouldnt advertisers give Google money? Are you noticing any shift in trend?