LLaMA-7B adapted for LlamaModel and LlamaTokenizer provided after transformers 4.28.0. Loading with AutoModel and AutoTokenizer now supported for checkpoints in this repo. This is under a special license, please see the LICENSE file for details. Model date LLaMA was trained between December. 2022 and Feb. 2023. Model type LLaMA is an auto-regressive language model, based on the transformer architecture. The model comes in different sizes: 7B, 13B, 33B and 65B parameters. Paper or resources for more information More information can be found in the paper “LLaMA, Open and Efficient Foundation Language Models”, available at https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/. Citations details https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/ Where to send questions or comments about the model Questions and comments about LLaMA can be sent via the GitHub repository of the project , by opening an issue. Primary intended uses The primary use of LLaMA is research on large language models, including: exploring potential applications such as question answering, natural language understanding or…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: learnanything
Теги: llama, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 40
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
