Gemma 2Lightweight, state-of-the-art open models from Google

Gemma 2: Next-Generation Open AI Models

Introduction

Gemma 2 is the latest advancement in open AI models from Google, designed to provide researchers and developers with state-of-the-art performance and efficiency. Available in 9 billion (9B) and 27 billion (27B) parameter sizes, Gemma 2 offers significant improvements over its predecessor, making it a powerful tool for a wide range of AI applications.

Key Features

• Outsized Performance: Delivers best-in-class performance for its size, outperforming larger models.
• Efficiency and Cost Savings: Runs efficiently on a single NVIDIA H100 Tensor Core GPU or TPU host, reducing deployment costs.
• Blazing Fast Inference: Optimized for speed across various hardware setups, from gaming laptops to cloud-based environments.
• Broad Framework Compatibility: Compatible with major AI frameworks like Hugging Face Transformers, JAX, PyTorch, and TensorFlow.
• Open and Accessible: Available under a commercially-friendly license, allowing for easy sharing and commercialization.

Use Cases

• AI Research: Ideal for academic and commercial research projects requiring high-performance models.
• Application Development: Suitable for building AI-driven applications in various domains, including natural language processing, computer vision, and more.
• Cost-Effective Deployments: Enables budget-friendly AI deployments without compromising on performance.

Pricing

Gemma 2 is available free of charge for research and development through platforms like Kaggle and Colab notebooks. Google Cloud customers can deploy and manage Gemma 2 on Vertex AI, with potential eligibility for $300 in credits for first-time users. Academic researchers can apply for the Gemma 2 Academic Research Program to receive additional Google Cloud credits.

Teams

Gemma 2 is developed by Google DeepMind, leveraging cutting-edge research and technology. The team is committed to responsible AI development, providing resources like the Responsible Generative AI Toolkit and the LLM Comparator for in-depth model evaluation. The Gemma Cookbook offers practical examples and recipes to help developers integrate Gemma 2 into their workflows.

Gemma 2 is now available in Google AI Studio, with model weights accessible on Kaggle and Hugging Face Models. Explore the full potential of Gemma 2 and elevate your AI projects to new heights.