Gemma

Features

• Responsible by Design: Gemma models incorporate comprehensive safety measures, ensuring responsible AI solutions through curated datasets and rigorous tuning.
  
• Unmatched Performance at Size: Achieve exceptional benchmark results with Gemma's 2B, 7B, 9B, and 27B models, outperforming larger models.
  
• Framework Flexible: Enjoy seamless compatibility with JAX, TensorFlow, and PyTorch via Keras 3.0, allowing easy switching for various tasks.
  
• Redesigned for Efficiency: Gemma 2 optimizes for blazing-fast inference across diverse hardware setups, offering outsized performance and efficiency.
  

Use Cases:

• AI Studio Testing: Try Gemma 2 in Google AI Studio for advanced experimentation and AI research.
  
• Benchmark Versatility: Evaluate Gemma models across numerous benchmarks such as MMLU, ARC-C, GSM8K, and more to test their comprehensive capabilities.
  
• Educational Aid: Leverage Gemma's reading comprehension and problem-solving capabilities for educational tools and resources.
  
• Code Generation: Use CodeGemma for code completion and generation, enhancing software development efficiency.
  

Gemma 2 models offer scalable AI solutions with unmatched performance and safety, making them suitable for a wide array of applications, from research to development.