Gemma
Gemma is Google DeepMind's family of open-source large language models, serving as lightweight versions of Gemini. Available models include Gemma 1 (February 2024), Gemma 2 (June 2024), and Gemma 3 (March 2025) with variants like PaliGemma for vision-language tasks and MedGemma for medical applications. Available in multiple sizes (2B, 7B, and larger variants). Designed for research, education, and commercial applications with permissive licensing. Trained on similar data and methods as Gemini models but optimized for open-source deployment. Available through Hugging Face, Kaggle, and Google Cloud Vertex AI.
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USE CASE EXAMPLES
Research and Education
Use Gemma for AI research, education, and academic projects with full access to model weights and training data.
- Download Gemma models from Hugging Face or Kaggle
- Set up research environment with PyTorch or JAX
- Conduct experiments and fine-tuning
- Publish research with full transparency
Vision-Language Applications
Use PaliGemma variant for tasks requiring both image and text understanding.
- Download PaliGemma model weights
- Set up vision-language pipeline
- Process images and text together
- Generate multimodal outputs
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FEATURED IN GUIDES
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