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Google DeepMind, "Gemma 3 Technical Report" (2025).
webai.google.dev·ai.google.dev/gemma
Gemma 3 is Google DeepMind's open-weight model family; this technical report is relevant to debates about open-weight model release norms, safety evaluations at deployment, and the proliferation of capable frontier-adjacent models.
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Importance: 45/100tool pageprimary source
Summary
Google DeepMind's technical report on Gemma 3, a family of open-weight language models designed for broad accessibility and deployment. The report covers model architecture, training methodology, capabilities benchmarks, and safety evaluations. Gemma 3 represents Google's contribution to open-model development with integrated safety measures.
Key Points
- •Introduces Gemma 3 as a series of open-weight models varying in size, intended for research and commercial deployment
- •Includes safety evaluations and responsible AI guidelines as part of the model release documentation
- •Benchmarks demonstrate competitive performance across reasoning, coding, and multimodal tasks
- •Discusses model fine-tuning capabilities and alignment techniques applied during training
- •Relevant to AI safety discussions around open-weight model release practices and associated risks/benefits
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Large Language Models | Capability | 60.0 |
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# Gemma
A collection of lightweight, state-of-the-art open models built from the same technology that powers our Gemini models\*
[Build with Gemma](https://ai.google.dev/gemma/docs?utm_source=deepmind.google&utm_medium=referral&utm_campaign=gdm&utm_content=)

## Gemma 3
A family of lightweight models with multimodal understanding and unparalleled multilingual capabilities for more intelligent applications.
[Learn more](https://deepmind.google/models/gemma/gemma-3/)

## Gemma 3n
Our powerful and efficient open model designed to run locally on phones, tablets, and laptops.
[Learn more](https://deepmind.google/models/gemma/gemma-3n/)

Our most advanced open models help developers create AI applications that run wherever users need them — from workstations to laptops and even phones.
- [Models](https://deepmind.google/models/gemma/#models)
- [Performance](https://deepmind.google/models/gemma/#performance)
- [Gemmaverse](https://deepmind.google/models/gemma/#gemmaverse)
- [Integrations](https://deepmind.google/models/gemma/#integrations)
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January 2026
### Introducing MedGemma 1.5 4B
High-dimensional medical imaging interpretation in a new compute-efficient model from Health AI Developer Foundations
[Read blog](https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/)

January 2026
### Introducing TranslateGemma
A collection of translation models to help people communicate across 55 languages
[Read blog](https://blog.google/innovation-and-ai/technology/developers-tools/translategemma/)

December 2025
### Introducing Gemma Scope 2
Helping the AI safety community deepen understanding of complex language model behavior
[Read blog](https://deepmind.google/blog/gemma-scope-2-helping-the-ai-safety-community-deepen-understanding-of-complex-language-model-behavior/)
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