Gemma 3n E2B
Multimodal
Zero-eval
by Google
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About
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Timeline
AnnouncedJun 26, 2025
ReleasedJun 26, 2025
Knowledge CutoffJun 1, 2024
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Specifications
Training Tokens11.0T
Capabilities
Multimodal
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
11 benchmarks
Average Score
58.6%
Best Score
78.9%
High Performers (80%+)
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All Benchmark Results for Gemma 3n E2B
Complete list of benchmark scores with detailed information
| PIQA | text | 0.79 | 78.9% | Self-reported | |
| BoolQ | text | 0.76 | 76.4% | Self-reported | |
| ARC-E | text | 0.76 | 75.8% | Self-reported | |
| HellaSwag | text | 0.72 | 72.2% | Self-reported | |
| Winogrande | text | 0.67 | 66.8% | Self-reported | |
| TriviaQA | text | 0.61 | 60.8% | Self-reported | |
| DROP | text | 0.54 | 53.9% | Self-reported | |
| ARC-C | text | 0.52 | 51.7% | Self-reported | |
| Social IQa | text | 0.49 | 48.8% | Self-reported | |
| BIG-Bench Hard | text | 0.44 | 44.3% | Self-reported |
Showing 1 to 10 of 11 benchmarks