Introduction
A family of lightweight, state-of-the-art open models
Key Features
Comprehensive safety measures for responsible and trustworthy AI solutions
Exceptional benchmark results at 2B and 7B sizes
Framework flexibility with compatibility with Keras 3.0, JAX, TensorFlow, and PyTorch
Frequently Asked Questions
What is Gemma?
How to use Gemma?
What are Gemma models?
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Use Cases
- Fine-tuning and inference tasks with Hugging Face Transformers
- Exporting to TensorRT-LLM for production with NVIDIA NeMo Framework
How to Use
Discover quickstart guides, benchmarks, train and deploy on Google Cloud, and join the community to advance AI research