Instructions to use google/gemma-4-12B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
Gemma 4:124b
This is cool and all but is the Gemma 4:124b coming up next?
Please bless this house with an American DENSE boi
a model that large might just compete with their own flash-lite series so they would never but they SHOULD please google
Yes, pretty please release a larger MoE with small number of active parameters (3-5B) to rival GPT-OSS 120B!
that'd be a great model to use for local inference
That will be the best model to use for local inference hands down
I would highly appreciate to get an 124b+- model. This would be epic move and would bring back the same vibes as we had when OpenAI released GPT-OSS 122b
GPT-OSS 122B was the best medium-sized model for a good while.. It could be Gemma's turn. Release Gemma 4 124B and show those chinese models what's what... or, no balls
I wonder why they don't just release Gemini Pro 2.5? It's already outdated.
a model that large might just compete with their own flash-lite series so they would never but they SHOULD please google
Hmm... Don't you think that Gemma 4 31b is already superior to Gemini Flash Lite?
How much of my personal data does Google need to sell to data brokers to get my hands on a 120B model? I'll do it, I don't give a damn. Dense or sparse.
124B model please GOOGLE
A larger Gemma model would be AWESOME
Don't be good Google, demolish the rest of the competition with Gemma 124B pretty please
120b, i want it just like the others, also great job on the google gemini flash, for 9/10 stuff i need it just dose it while leaving my credit for the heavily hitter of yours
