TranslateGemma: Open Translation Models (Jan 2026)
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TranslateGemma: Open Translation Models (Jan 2026)
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Google introduces TranslateGemma, a new suite of open translation models based on Gemma 3, available in 4B, 12B, and 27B parameter sizes.
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Google introduces TranslateGemma, a new suite of open translation models based on Gemma 3, available in 4B, 12B, and 27B parameter sizes.
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Key Highlights:
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Key Highlights:
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• Supports 55 languages with high-quality translation across high-, mid-, and low-resource languages
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• Supports 55 languages with high-quality translation across high-, mid-, and low-resource languages
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• Exceptional efficiency: 12B model outperforms 27B baseline on WMT24++ benchmark
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• Exceptional efficiency: 12B model outperforms 27B baseline on WMT24++ benchmark
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• Built using two-stage fine-tuning process distilling knowledge from Gemini models
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• Built using two-stage fine-tuning process distilling knowledge from Gemini models
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• Retains strong multimodal capabilities (can translate text within images)
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• Retains strong multimodal capabilities (can translate text within images)
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• Trained on nearly 500 additional language pairs for research adaptation
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• Trained on nearly 500 additional language pairs for research adaptation
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• Designed for diverse deployment environments from mobile to cloud
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• Designed for diverse deployment environments from mobile to cloud
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The models achieve state-of-the-art performance while maintaining exceptional efficiency, making high-quality translation accessible across different devices and use cases.
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The models achieve state-of-the-art performance while maintaining exceptional efficiency, making high-quality translation accessible across different devices and use cases.
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https://huggingface.co/collections/google/translategemma
https://huggingface.co/collections/google/translategemma
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TranslateGemma: Open Translation Models (Jan 2026)

Google introduces TranslateGemma, a new suite of open translation models based on Gemma 3, available in 4B, 12B, and 27B parameter sizes.

Key Highlights:
• Supports 55 languages with high-quality translation across high-, mid-, and low-resource languages
• Exceptional efficiency: 12B model outperforms 27B baseline on WMT24++ benchmark
• Built using two-stage fine-tuning process distilling knowledge from Gemini models
• Retains strong multimodal capabilities (can translate text within images)
• Trained on nearly 500 additional language pairs for research adaptation
• Designed for diverse deployment environments from mobile to cloud

The models achieve state-of-the-art performance while maintaining exceptional efficiency, making high-quality translation accessible across different devices and use cases.

https://huggingface.co/collections/google/translategemma
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jjokah John6666 Archi-medes