Pagewood/T-LLaMA

In this study, we built a corpus containing 2.2 billion Tibetan characters and trained Tibetan LLaMA based on LLaMA2 7B. We achieved state-of-the-art performance in the text classification task using the open-source TNCC dataset, with an accuracy of 79.8%. Additionally, we obtained promising results in text generation and text summarization tasks.

Модальности:
Генерация текста

Задача: Генерация текста
Автор: Pagewood
Теги: llama, bo, text-generation-inference, endpoints_compatible
Лайков: 3  |  Загрузок: 31

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