New Delhi: Google has recently introduced its latest TranslateGemma, a latest collection of open translation AI models built on Gemma 3. The company has stated that the models support translation across 55 languages and are available in three sizes: 4B, 12B, and 27B parameters. According to the company, TranslateGemma is part of its efforts to advance open translation models by distilling knowledge from its Gemini models into smaller, open architectures. TranslateGemma is a family of AI models focused specifically on language translation. Google stated that the models were created using a specialised training process that transfers capabilities from its Gemini models into the Gemma 3 framework.
The company has released TranslateGemma in three sizes to support different deployment needs, ranging from smaller environments to cloud-based systems. Google stated TranslateGemma has been trained and evaluated across 55 languages, including widely spoken languages such as Spanish, French, Chinese, and Hindi, as well as several low-resource languages. In its internal evaluations, Google stated that TranslateGemma reduced translation errors compared to baseline Gemma models across all tested language groups. The company also trained the models on nearly 500 additional language pairs to allow further research and adaptation, though evaluation results for those pairs have not yet been confirmed.
TranslateGemma retains the multimodal capabilities of Gemma 3. Google stated that the testing showed that improvements in text translation also carried over to translating text within images, even without additional multimodal training during the TranslateGemma process. TranslateGemma is available through Kaggle, Hugging Face, and Vertex AI, along with technical documentation provided by Google. TranslateGemma is aimed primarily at researchers and developers working on translation systems. While end users will not interact with the models directly, Google said that they can serve as a foundation for building translation tools that support a wide range of languages across different devices.
