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LLMS • CURATED • UPDATED DEC 27, 2026

Gemma

Google's open-source lightweight LLM

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 2026) 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.

QUICK TIPS

1 Choose appropriate model size based on your needs
2 Use PaliGemma for vision-language tasks
3 Leverage MedGemma for medical and healthcare applications
4 Take advantage of permissive licensing for commercial use
5 Explore fine-tuning for domain-specific applications

SIMILAR TOOLS

Claude Opus 4.6 NotebookLM Grok DeepSeek Llama

USE CASE EXAMPLES

Research and Education

Use Gemma for AI research, education, and academic projects with full access to model weights and training data.

STEPS:
  1. Download Gemma models from Hugging Face or Kaggle
  2. Set up research environment with PyTorch or JAX
  3. Conduct experiments and fine-tuning
  4. Publish research with full transparency

Vision-Language Applications

Use PaliGemma variant for tasks requiring both image and text understanding.

STEPS:
  1. Download PaliGemma model weights
  2. Set up vision-language pipeline
  3. Process images and text together
  4. Generate multimodal outputs

PRICING

Free Completely free
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EXPLORE ALTERNATIVES

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FREQUENTLY ASKED QUESTIONS

Q

Is Gemma free?

A

Yes, Gemma is completely free to use with no paid tiers or limitations.

Q

What can I do with Gemma?

A

Gemma is designed for Research and education, Open-source projects, Lightweight deployments. Gemma is Google DeepMind's family of open-source large language models, serving as lightweight versions of Gemini. Key strengths include Open-source with permissive licensing and Multiple model sizes for different use cases.

Q

How do I use Gemma?

A

Gemma is a large language model for text generation, analysis, and conversation. Use the API for programmatic access. Enter prompts or questions to get responses. It excels at open-source with permissive licensing.

Q

How do I get started with Gemma?

A

Visit Google's Gemma documentation at ai.google.dev/gemma or deepmind.google/technologies/gemma. Download model weights from Hugging Face (huggingface.co/google) or Kaggle (kaggle.com/models/google/gemma). For API access, use Google Cloud Vertex AI. ...

Q

Is Gemma open source?

A

Yes, Gemma is open source. You can access the source code on GitHub at https://github.com/google/gemma_pytorch, contribute to development, and deploy it on your own infrastructure.