translation model

On January 16th, Google released a book yesterday, January 15, which, based on the Gemma 3 architecture, launched the TranslateGema Open Translation Model series, with a total of 4B, 12B and 27B parameter sizes, supporting 55 core languages and multiple mode image translations, which are now available for download in Kaggle and Hugging Face. In terms of performance, Google teams use the WMT24++ benchmark (55 languages in high, medium and low resource languages) and MetricX..

On December 31, in the news of the announcement of the open-source translation model 1.5, the text consists of two models: Tencent-HY-MT1.5-1.8B and Tencent-HY-MT1.5-7B, in support of 33 language translations and 5 Chinese/linguistics, in addition to common languages such as Chinese, English and Japanese, as well as small languages such as Czech, Marathi, Estonian and Icelandic. Now both models are placing on the M.O. Online, and open-source communities like Github and Huggingface..

September 1 news, Tencent mixed yuan announced its international translation model open source, for developers to download and deploy for free. It is understood that this model is named Hunyuan-MT-7B, the total number of references is only 7B, supports 33 languages, 5 kinds of Chinese language / dialect translation, is a lightweight translation model with comprehensive capabilities. According to Tencent Hybrid, in the International Association for Computational Linguistics (ACL) WMT2025 competition that ended at the end of August, Tencent Hybrid's Hunyuan-MT-7B (Entry Name: Shy-hunyuan-MT) took all the...