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# 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)
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## 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)
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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