Gemma 3 12B
Multimodal
by Google DeepMind
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About
Gemma 3 12B is a 12-billion-parameter open-weight model from Google DeepMind, released in March 2025 as part of the Gemma 3 series designed to bring multimodal reasoning to accessible hardware. The model supports both text and image inputs across a 128K token context window, extending the vision capabilities that defined the Gemma 3 generation compared to earlier text-only Gemma releases. It became widely adopted for domain-specific fine-tuning in research and enterprise settings where full multimodal capability was needed without the infrastructure demands of larger frontier models.
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Timeline
ReleasedMar 12, 2025
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Specifications
Capabilities
Multimodal
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License & Family
License
Modified MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
1 benchmarks
Average Score
73.0%
Best Score
73.0%
High Performers (80%+)
0Top Categories
Coding
73.0%
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All Benchmark Results for Gemma 3 12B
Complete list of benchmark scores with detailed information
| MBPP | Coding | 73.00 | 73.0% | Unverified |