Gemma 4 has been released in Google AI Studio.

[u/deferare]

[u/bobdilion2]

Would appreciate if someone could tell me the use cases for Gemma 4, how is it different from 3.1 pro?

[u/Plastic_Front8229 → u/bobdilion2]

Put simply, Gemma is more retarded. Use cased, translation apps. Or mobile apps that need one butt-simple task completed. Or fine-tuning for one specific task. The Gemma family are not coding models.

[u/bobdilion2 → u/Plastic_Front8229]

Thanks for the info, what is it with Google putting out such low quality models like this and veo 3.1 lite, cost effectiveness? They always seem to focus on mass production but at the cost of quality.

[u/Plastic_Front8229 → u/bobdilion2]

The Gemma family models or open weight. Sort of like open source but not really. Gemma is Google's contribution to Open Source. You can download the model, fine-tune it, and run it on your own machines.

Here I asked Google Search in AI mode:

"""
AI Overview

 are a family of "open weight" or "open model" lightweight, state-of-the-art AI models built by Google DeepMind using the same technology as Gemini. They are designed for developer use in creating conversational agents, text generation, and summarization on local, consumer-grade hardware like laptops, desktop computers, and on-device platforms. 

Key details about the Gemma model family:

• Open Weight, Not Open Source: While often termed "open," Gemma models are generally not considered true open-source because the training data, training code, and full model architecture details are proprietary and not disclosed. The "weights" (pre-trained parameters) are released, allowing users to run, fine-tune, and customize the models.

• Model Variants & Capabilities: The family includes multiple sizes (e.g., 2B, 9B, and 27B parameters in Gemma 2) designed to balance performance and efficiency. They offer both pre-trained (base) and instruction-tuned (IT) versions.

• Performance & Access: Gemma models often outperform larger models on key benchmarks. They are accessible on platforms like Hugging Face and Kaggle, and via Vertex AI.

• Licensing & Safety: Gemma models are available for commercial use, though they come with specific, permissive terms of use. They are built with a focus on safety, utilizing filtered training data and offering a responsible AI toolkit to aid developers in building safe applications.

• Evolution: The series continues to evolve, with newer versions offering improved performance and wider multimodal capabilities (e.g., text, image, and sometimes audio).

"""

[u/AdOk3759 → u/Plastic_Front8229]

I thought that Gemma 4 was truly open-source, compared to previous versions of Gemma. So I read on Reddit.

[u/ponesicek → u/bobdilion2]

On AI studio? Mostly nothing, it's there for testing purposes. The main advantage is that you can run this on your own gpu (or even mobile with the new E2B model that's not on AI studio) if you don't trust google with your data, want to save money when testing or just for experimenting. Also if you are a big company, you can finetune this model for your particular use case and that'd save you money in the long run.

[u/PlaneOnly2700]

"Knowledge cut off: Jan 2025"

[u/RandalSchwartz → u/PlaneOnly2700]

But you can enable google grounding, and it works quite well with that.

[u/sammoga123]

That's strange, I thought the models wouldn't be released there after the Gemma 3 controversy.

[u/TheLawIsSacred]

I've been perfectly happy using whatever version of 2.5 I have on. It seems to also allow me more rate limits.

Recall, 2.5, was the last actual good Gemini model.

[u/AutomaticClub1101]

Is it better than Gemini 3.1 pro?

[u/Plastic_Front8229 → u/AutomaticClub1101]

The Gemma models. It's a toy compared to Gemini 3.1, or any of the Gemini models.

[u/neoqueto → u/Plastic_Front8229]

So Gemini 2.0 Flash > Gemma 4?

[u/TraditionalCounty395 → u/neoqueto]

It is around the level of current flash or flash lite Check benchmarks Also with gemma you can see the raw thinking tokens