From 7045e59e9ce984b70e94be0f90ff1ae8b830bd56 Mon Sep 17 00:00:00 2001 From: p04896573 Date: Mon, 13 May 2024 10:45:06 +0800 Subject: [PATCH] Update README_ALL.md --- quick_start_clean/readmes/README_ALL.md | 17 ++++++----------- 1 file changed, 6 insertions(+), 11 deletions(-) diff --git a/quick_start_clean/readmes/README_ALL.md b/quick_start_clean/readmes/README_ALL.md index f51e275..6b928fe 100644 --- a/quick_start_clean/readmes/README_ALL.md +++ b/quick_start_clean/readmes/README_ALL.md @@ -1,15 +1,13 @@ # 九格大模型使用文档 -目录 +## 目录 - [环境配置](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#环境配置) - [开源模型](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#开源模型) -- [数据](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#数据) +- [数据构建](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#数据构建) - [模型训练](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#模型训练) - [模型推理](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#模型推理) -- [开源模型](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#开源模型) -- [分布式多机训练](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#分布式多机训练) +- [多机训练](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#多机训练) - [FAQs](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ALL.md?tab=readme-ov-file#FAQs) - - + ## 环境配置： [环境配置、硬件信息](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_ENV.md) @@ -17,12 +15,10 @@ ## 开源模型 1 目前启元开源了80B的百亿SFT模型，模型的路径：[百亿SFT开源模型](https://qy-obs-6d58.obs.cn-north-4.myhuaweicloud.com/checkpoints-epoch-1.tar.gz) - ## 使用教程 - 为了帮助您快速了解CPM-9G的使用，我们准备了一个快速入门教程，目标是基于CPM-9G基座模型通过指令微调的方式构建一个Chat模型。 -## 数据 +## 数据构建 本教程使用的数据是Alpaca Zh，一个开源中文指令微调数据集。[数据集](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM/blob/main/data/alpaca_gpt4_data_zh.json) @@ -277,8 +273,7 @@ if __name__ == "__main__": main() ``` -## 分布式多机训练 -[分布式多机训练](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_DISTRIBUTED.md) +## [多机训练](https://www.osredm.com/jiuyuan/CPM-9G-8B/tree/master/quick_start_clean/readmes/README_DISTRIBUTED.md) ## FAQs