— Paper: «LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages» LLaMAX is a language model with powerful multilingual capabilities without loss instruction-following capabilities. We collected extensive training sets in 102 languages for continued pre-training of Llama2 and leveraged the English instruction fine-tuning dataset, Alpaca, to fine-tune its instruction-following capabilities. LLaMAX supports translation between more than 100 languages, surpassing the performance of similarly scaled LLMs. LLaMAX achieves an average spBLEU score improvement of over 10 points compared to the LLaMA2-Alpaca model on the Flores-101 dataset. LLaMAX preserves its efficacy in general tasks and improves the performance on multilingual tasks. We fine-tuned LLaMAX using only the English training set of downstream task, which also shows significant improvements in non-English. We provide fine-tuning LLaMAX models for the following three tasks: — Math Reasoning: https://huggingface.co/LLaMAX/LLaMAX2-7B-MetaMath — Commonsense Reasoning: https://huggingface.co/LLaMAX/LLaMAX2-7B-X-CSQA — Natural Language Inference:…
Модальности:
Генерация текста
Области применения:
Диалог / чат Мультиязычность
Задача: Генерация текста
Автор: LLaMAX
Теги: llama, Multilingual, conversational, af, am, ar, hy, as
Лайков: 3 | Загрузок: 50
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
