INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT Given a fixed computing budget, training a larger model for fewer steps is better than training a smaller model for more steps. Mixture of Experts enable models to be pretrained with far less compute, which means you can dramatically scale up the model or dataset size with the same compute budget as a dense model. In particular, a MoE model should achieve the same quality as its dense counterpart much faster during pretraining. So, what exactly is a MoE? In the context of transformer models, a MoE consists of two main elements: Sparse MoE layers are used instead of dense feed-forward network (FFN) layers. MoE layers have a certain number of “experts” (e.g. 32 in my «frankenMoE»), where each expert is a neural network. In practice, the experts are FFNs, but they can also be…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Kquant03
Теги: mixtral, moe, merge, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 8,617
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
