Paper: https://arxiv.org/pdf/2310.06694.pdf Code: https://github.com/princeton-nlp/LLM-Shearing Models: Sheared-LLaMA-1.3B, Sheared-LLaMA-2.7B Pruned Models without Continued Pre-training: Sheared-LLaMA-1.3B-Pruned, Sheared-LLaMA-2.7B-Pruned Instruction-tuned Models: Sheared-LLaMA-1.3B-ShareGPT, Sheared-LLaMA-2.7B-ShareGPT License: Must comply with license of Llama2 since it’s a model derived from Llama2. Sheared-LLaMA-2.7B-Pruned is the model pruned from meta-llama/Llama-2-7b-hf without continued pre-training. We used roughly 0.4B tokens to perform the pruning experiment. This model could be a good use to study — effective data mixtures for continued pre-training — comparisons to other pruning techniques — extensive evaluations to understand how pruning affects knowledge and reasoning capabilities of LLMs
Модальности:
Генерация текста
Задача: Генерация текста
Автор: princeton-nlp
Теги: llama, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 20
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
