Gemma 3n 27B is the larger flagship of Google's Gemma 3n series, offering substantially more capacity than the 9B variant while retaining the efficiency-oriented architectural improvements of the 3n design. At 27 billion parameters, it delivers stronger reasoning, richer world knowledge recall, and markedly better multilingual performance across a broad set of languages.
This model targets developers and researchers who need an open-weight model with near-frontier quality that can still be run on high-end workstations or small server clusters. Its improved multilingual capabilities make it particularly attractive for international applications and low-resource language tasks.
Key Features
27B parameter scale for richer knowledge and stronger reasoning
Markedly improved multilingual output quality over 9B variant
Efficient 3n architecture balancing capability and compute cost
Open weights for fine-tuning and private on-premise deployment
Strong performance on complex instruction-following tasks
Suitable for low-resource language support and cross-lingual tasks
Ideal Use Cases
Multilingual customer support and content moderation systems
Research requiring a large open-weight model for reproducibility
Specialized domain fine-tuning requiring broad base knowledge
Cross-lingual translation and localization workflows
High-quality text generation for publishing and media at scale
Example Prompts for Gemma 3n 27B
Technical Specifications
| Provider | |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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