MiLMMT-46-1B-Pretrain is a language model developed through continual pretraining of Gemma3-1B using a mix of 143 billion tokens from both monolingual and parallel data across 46 different languages. Please find more details in our paper: Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models. — Supported Languages: Arabic, Azerbaijani, Bulgarian, Bengali, Catalan, Czech, Danish, German, Greek, English, Spanish, Persian, Finnish, French, Hebrew, Hindi, Croatian, Hungarian, Indonesian, Italian, Japanese, Kazakh, Khmer, Korean, Lao, Malay, Burmese, Norwegian, Dutch, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Swedish, Tamil, Thai, Tagalog, Turkish, Urdu, Uzbek, Vietnamese, Cantonese, Chinese (Simplified), Chinese (Traditional). — GitHub: Please find more details in our GitHub repository. — Developed by: Xiaomi Inc. We collect monolingual data from DCAD-2000. For parallel data, we collect all Chinese-centric and English-centric parallel datasets from the OPUS collection up to August 2025 and conduct a series of filtering processes, such as language identification, semantic duplication filtering, quality filtering, and more.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: xiaomi-research
Теги: gemma3_text, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 256
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
