For a deeper dive into the technical particulars behind these capabilities, in addition to a complete overview of our strategy to accountable improvement, check with the Gemma 3 technical report.
Rigorous security protocols to construct Gemma 3 responsibly
We imagine open fashions require cautious danger evaluation, and our strategy balances innovation with security – tailoring testing depth to mannequin capabilities. Gemma 3’s improvement included intensive knowledge governance, alignment with our security insurance policies by way of fine-tuning and sturdy benchmark evaluations. Whereas thorough testing of extra succesful fashions typically informs our evaluation of much less succesful ones, Gemma 3’s enhanced STEM efficiency prompted particular evaluations centered on its potential for misuse in creating dangerous substances; their outcomes point out a low danger degree.
As trade develops extra highly effective fashions, it is going to be vital to collectively develop risk-proportionate approaches to security. We are going to proceed to study and refine our security practices for open fashions over time.
Constructed-in security for picture functions with ShieldGemma 2
Alongside Gemma 3, we’re additionally launching ShieldGemma 2, a robust 4B picture security checker constructed on the Gemma 3 basis. ShieldGemma 2 offers a ready-made resolution for picture security, outputting security labels throughout three security classes: harmful content material, sexually express and violence. Builders can additional customise ShieldGemma for his or her security wants and customers. ShieldGemma 2 is open and constructed to provide flexibility and management, leveraging the efficiency and effectivity of the Gemma 3 structure to advertise accountable AI improvement.
Able to combine with the instruments you already use
Gemma 3 and ShieldGemma 2 combine seamlessly into your present workflows:
- Develop along with your favourite instruments: With help for Hugging Face Transformers, Ollama, JAX, Keras, PyTorch, Google AI Edge, UnSloth, vLLM and Gemma.cpp, you have got the pliability to decide on the perfect instruments in your undertaking.
- Begin experimenting in seconds: Get prompt entry to Gemma 3 and start constructing instantly. Discover its full potential in Google AI Studio, or obtain the fashions by Kaggle or Hugging Face.
- Customise Gemma 3 to your particular wants: Gemma 3 ships with a revamped codebase that features recipes for environment friendly fine-tuning and inference. Prepare and adapt the mannequin utilizing your most well-liked platform, like Google Colab, Vertex AI and even your gaming GPU.
- Deploy your method: Gemma 3 affords a number of deployment choices, together with Vertex AI, Cloud Run, the Google GenAI API, Iocal environments and different platforms, supplying you with the pliability to decide on the perfect match in your software and infrastructure.
- Expertise optimized efficiency on NVIDIA GPUs: NVIDIA has instantly optimized Gemma 3 fashions to make sure that you get most efficiency on GPUs of any dimension, from Jetson Nano to the most recent Blackwell chips. Gemma 3 is now featured on the NVIDIA API Catalog, enabling fast prototyping with simply an API name.
- Speed up your AI improvement throughout many {hardware} platforms: Gemma 3 can be optimized for Google Cloud TPUs and integrates with AMD GPUs by way of the open-source ROCm™ stack. For CPU execution, Gemma.cpp affords a direct resolution.
A “Gemmaverse” of fashions and instruments
The Gemmaverse is an unlimited ecosystem of community-created Gemma fashions and instruments, able to energy and encourage your innovation. For instance, AI Singapore’s SEA-LION v3 breaks down language obstacles and fosters communication throughout Southeast Asia; INSAIT’s BgGPT is a pioneering Bulgarian-first massive language mannequin that demonstrates the ability of Gemma to help numerous languages; and Nexa AI’s OmniAudio showcases the potential of on-device AI, bringing superior audio processing capabilities to on a regular basis gadgets.
To additional promote educational analysis breakthroughs, we’re launching the Gemma 3 Tutorial Program. Tutorial researchers can apply for Google Cloud credit (price $10,000 per award) to speed up their Gemma 3-based analysis. The applying type opens as we speak, and can stay open for 4 weeks. Apply on our web site.
Get began with Gemma 3
As a part of our ongoing dedication to democratizing entry to high-quality AI, Gemma 3 represents the subsequent step. Able to discover Gemma 3? This is the place to begin:
On the spot exploration:
- Strive Gemma 3 at full precision instantly in your browser – no setup wanted – with Google AI Studio.
- Get an API key instantly from Google AI Studio and use Gemma 3 with the Google GenAI SDK.
Customise and construct:
- Obtain Gemma 3 fashions from Hugging Face, Ollama, or Kaggle.
- Simply fine-tune and adapt the mannequin to your distinctive necessities with Hugging Face’s Transformers library, or your most well-liked improvement setting.
Deploy and scale:
