Gemma is a collection of lightweight, state-of-the-art open models that offer unmatched performance at various sizes. It incorporates comprehensive safety measures and is framework flexible, allowing for seamless compatibility with popular frameworks like JAX, TensorFlow, and PyTorch.

Key Features:

• Unmatched performance
• Comprehensive safety measures
• Framework flexibility

Use Cases:

• Image recognition
• Natural language processing
• Recommendation systems

Benefits:

• Improved performance
• Enhanced safety
• Compatibility with popular frameworks