Gemma Open models

Gemma comes in various models with two sizes, 2B and 7B, each offering lightweight yet high-performance capabilities. These models enable developers to utilize them directly on their personal devices such as laptops or desktops. By providing tools and techniques for training and fine-tuning, Google makes the utilization of Gemma straightforward and efficient.

Key features of Gemma:

• Two model sizes: Gemma 2B and Gemma 7B, each with pre-trained and instruction-tuned variants.
• Responsible Generative AI Toolkit: Provides guidance and tools for building safe AI applications with Gemma.
• Toolchains for major frameworks: JAX, PyTorch, and TensorFlow through native Keras 3.0.
• Easy to get started: Ready-to-use notebooks and integration with popular tools.
• Runs on various platforms: Laptops, workstations, Google Cloud (Vertex AI and GKE).
• Optimized for performance: Across AI hardware platforms like NVIDIA GPUs and Google Cloud TPUs.
• Commercial usage permitted: For all organizations, regardless of size.

Gemma Open Models:

Gemma represents a family of lightweight, state-of-the-art open models developed using cutting-edge research and technology. Inspired by the success of the Gemini models, Gemma is crafted to embody the ethos of accessibility and innovation. Available in two sizes - Gemma 2B and Gemma 7B - each variant comes with pre-trained and instruction-tuned models, catering to diverse application needs.

Responsible AI Toolkit:

Central to Google's commitment to responsible AI development is the Responsible Generative AI Toolkit, accompanying Gemma's release. This toolkit offers guidance and essential tools for creating safer AI applications, emphasizing the importance of ethical considerations in AI development.

Cross-Framework Support:

Gemma's versatility is underscored by its compatibility across major frameworks such as JAX, PyTorch, and TensorFlow through native Keras 3.0. With toolchains for inference and supervised fine-tuning, developers have the flexibility to work with their preferred frameworks seamlessly.

Optimized Deployment and Performance:

Gemma models can be deployed across various platforms, from personal devices to cloud infrastructure, with optimization for industry-leading performance. Leveraging partnerships with NVIDIA and integration with Google Cloud, Gemma ensures optimal performance across diverse hardware platforms.

Free Access and Support:

Google is committed to fostering innovation in the AI community by offering free access to Gemma through platforms like Kaggle and Colab. Additionally, first-time Google Cloud users can avail themselves of $300 in credits, while researchers can apply for credits up to $500,000 to accelerate their projects.

Frequently Asked Questions (FAQs) about Gemma:

Gemma is a family of lightweight, state-of-the-art open models developed by Google. These models are designed to assist developers and researchers in building AI applications responsibly.

• What sizes are Gemma models available in?

Gemma models are available in two sizes: Gemma 2B and Gemma 7B. Each size comes with pre-trained and instruction-tuned variants.

• What is included in the Responsible Generative AI Toolkit?

The Responsible Generative AI Toolkit provides guidance and essential tools for creating safer AI applications with Gemma. It includes methodologies for safety classification, model debugging tools, and best practices for model builders.

• Which frameworks are supported by Gemma?

Gemma supports all major frameworks, including JAX, PyTorch, and TensorFlow through native Keras 3.0. Toolchains for inference and supervised fine-tuning are provided across these frameworks.

• Where can I access Gemma models and tools?

Gemma models and tools can be accessed worldwide. Ready-to-use Colab and Kaggle notebooks, as well as integration with popular tools like Hugging Face, MaxText, NVIDIA NeMo, and TensorRT-LLM, make it easy to get started with Gemma.

• Can Gemma models run on different hardware platforms?

Yes, Gemma models are optimized to run on various hardware platforms, including laptops, workstations, IoT devices, mobile devices, and cloud infrastructure. Optimization for NVIDIA GPUs and Google Cloud TPUs ensures industry-leading performance.

• What are the terms of use for Gemma models?

The terms of use permit responsible commercial usage and distribution for all organizations, regardless of size.

• How does Gemma compare to other open models in terms of performance?

Gemma models achieve best-in-class performance for their sizes compared to other open models. They surpass significantly larger models on key benchmarks while adhering to Google's rigorous standards for safe and responsible outputs.

• How can I get started with Gemma?

You can explore more about Gemma and access quickstart guides on ai.google.dev/gemma. Additionally, free access is available on platforms like Kaggle and Colab, with credits for first-time Google Cloud users and researchers.

• What are Google's future plans for Gemma?

Google plans to continue expanding the Gemma model family and introducing new variants for diverse applications. Events and opportunities will be announced in the coming weeks to connect, learn, and build with Gemma.

In conclusion, the introduction of Gemma by Google marks a significant milestone in the field of artificial intelligence. With a focus on accessibility, innovation, and responsibility, Gemma offers developers and researchers powerful tools and state-of-the-art open models to build AI applications responsibly.

Gemma's lightweight yet high-performance models, available in sizes 2B and 7B, cater to diverse application needs and can be easily deployed across various platforms. The Responsible Generative AI Toolkit provides essential guidance and tools for creating safer AI applications, emphasizing Google's commitment to ethical AI development.

Supported across major frameworks and hardware platforms, Gemma enables broad accessibility and industry-leading performance. Free access and support further democratize AI innovation, empowering developers and researchers to explore and leverage Gemma's capabilities.

As Google continues to expand the Gemma model family, it envisions a future where responsible AI innovation thrives. By fostering collaboration, providing guidance, and ensuring ethical considerations, Gemma paves the way for transformative solutions that benefit society as a whole.

In essence, Gemma represents Google's dedication to making AI helpful for everyone while upholding principles of responsibility, transparency, and ethical use. As developers and researchers embark on their journey with Gemma, Google eagerly anticipates the impactful contributions and advancements that will shape the future of AI.