The purpose was to study, through interviews, observation and participation, the foundation's interactive model in order to discover what makes it work and share that knowledge with other professionals. The Noah
- 作者所在机构:Huawei Noah’s Ark Lab - 关键词:Large Language Models, Gradient Descent, Model Convergence, GPU Memory 🎯 研究目标:开发一种新的计算内存高效的算法VeLoRA,能够在保证模型性能的同时,显著压缩训练中的激活向量大小,以减少大规模语言模型(LLMs)训练和微调时对GPU内存的需求。
This repository provides the latest pretrained language models and its related optimization techniques developed by Huawei Noah's Ark Lab. Directory structure PanGu-α is a Large-scale autoregressive pretrained Chinese language model with up to 200B parameter. The models are developed under the MindSpor...
This repository provides the latest pretrained language models and its related optimization techniques developed by Huawei Noah's Ark Lab. Directory structure NEZHAis a pretrained Chinese language model which achieves the state-of-the-art performances on several Chinese NLP tasks. ...
The proposed solution uses a state-of-the-art method of BERT knowledge distillation (TinyBERT) with an advanced Chinese pre-trained language model (NEZHA) as the teacher model, which is dubbed as TinyNEZHA. In addition, we introduce some effective techniques in the fine-tuning stage to boost...
This repository provides the latest pretrained language models and its related optimization techniques developed by Huawei Noah's Ark Lab. Directory structure PanGu-α is a Large-scale autoregressive pretrained Chinese language model with up to 200B parameter. The models are developed under the MindSpor...