Name: gemma3.app
Brand: gemma3.app
Availability: InStock

What is gemma3.app?

Leveraging the research and technology behind Gemini 2.0, Gemma 3 represents Google's most advanced open AI model. It delivers state-of-the-art performance, capable of outperforming significantly larger models while running efficiently on a single GPU or TPU host. Key strengths include multimodal capabilities, allowing it to process both text and images for sophisticated visual reasoning tasks. Furthermore, its extensive 128K token context window enables the comprehension and processing of vast amounts of information.

Available in multiple sizes (1B, 4B, 12B, and 27B parameters), Gemma 3 offers flexibility to match performance needs with hardware constraints. Developers can integrate it seamlessly using popular frameworks like Hugging Face, JAX, PyTorch, or Ollama. Deployment options are versatile, supporting cloud platforms (Google GenAI API, Vertex AI, Cloud Run, Cloud TPU, Cloud GPU), web integration, or on-device execution. Advanced features such as function calling for interacting with external tools, and official quantized versions for reduced computational load, enhance its utility. Gemma 3 is released with open weights, permitting responsible commercial use and fine-tuning.

Features

State-of-the-Art Performance: Outperforms larger models while running on a single GPU or TPU host.
Multimodal Capabilities: Process text and images together for advanced visual reasoning (vision supported on 4B, 12B, 27B models).
128K Context Window: Process and understand vast amounts of information for complex tasks.
Multilingual Support: Pretrained support for over 140 languages, with out-of-the-box support for 35+.
Function Calling: Enables AI agents to interact with external tools and APIs.
Multiple Model Sizes: Available in 1B, 4B, 12B, and 27B parameter versions.
Quantized Models: Official optimized versions reducing computational requirements while maintaining accuracy.
Framework Integration: Works with Hugging Face, JAX, PyTorch, and Ollama.
Responsible AI: Incorporates Google's comprehensive safety measures and responsible AI practices.

Use Cases

Developing multilingual AI applications.
Building applications requiring advanced visual reasoning.
Creating AI agents capable of interacting with external APIs via function calling.
Processing and analyzing large documents, codebases, or conversations.
Deploying high-performance AI models on resource-constrained hardware.
Fine-tuning foundational models for specific tasks and domains.

FAQs

What sizes does Gemma 3 come in?

Gemma 3 is available in four sizes: 1B, 4B, 12B, and 27B parameters, allowing you to choose the best model for your specific hardware and performance needs.
Does Gemma 3 support multiple languages?

Yes, Gemma 3 offers out-of-the-box support for over 35 languages and pretrained support for over 140 languages, making it ideal for building globally accessible applications.
Does Gemma 3 support multimodal inputs?

Yes, Gemma 3 can process both text and images, enabling applications with advanced visual reasoning capabilities. The 4B, 12B, and 27B models all support vision.
How can I deploy Gemma 3?

Gemma 3 offers multiple deployment options, including Google GenAI API, Vertex AI, Cloud Run, Cloud TPU, and Cloud GPU. It also integrates with popular frameworks like Hugging Face, JAX, PyTorch, and Ollama.
Is Gemma 3 available for commercial use?

Yes, Gemma 3 is provided with open weights and permits responsible commercial use, allowing you to tune and deploy it in your own projects and applications.