# study_ascend **Repository Path**: watermelon-wifi/study_ascend ## Basic Information - **Project Name**: study_ascend - **Description**: 记录昇腾软件栈学习与使用过程 - **Primary Language**: Python - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2025-06-27 - **Last Updated**: 2025-06-27 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 人工智能与昇腾软件栈学习天地 该仓用作记录本人从开源仓、昇腾社区以及其他社区学习和总结的关于人工智能方向的知识,欢迎大家交流指正。如果您有任何需求,请在[Gitee](https://gitee.com/wei-pengfei2/study_ascend/issues) 提交issue,我会及时处理。 ## 目录 | 目录 | 说明 | | ------------------------------------------------------------ | -------------------------- | | [Atlas 200I DK A2开发者套件快速上手指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/Atlas%20200I%20DK%20A2/Atlas%20200I%20DK%20A2%E5%BC%80%E5%8F%91%E8%80%85%E5%A5%97%E4%BB%B6%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E6%8C%87%E5%AF%BC.md) | 快速使用Atlas 200I DK产品 | | [Atlas 800-3000快速上手指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/Atlas%20800-3000/Atlas%20800-3000%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B.md) | 快速使用Atlas 800-3000 | | [PyTorch模型Profiling采集、分析和性能调优](https://gitee.com/wei-pengfei2/study_ascend/blob/master/PyTorch%E6%A8%A1%E5%9E%8B%E8%BF%81%E7%A7%BB%E4%B8%8E%E8%B0%83%E4%BC%98/PyTorch%E6%A8%A1%E5%9E%8B%E6%80%A7%E8%83%BD%E6%95%B0%E6%8D%AE%E6%94%B6%E9%9B%86%E5%8F%8A%E5%88%86%E6%9E%90%E6%96%B9%E6%B3%95.md) | PyTorch模型性能调优 | | [昇腾环境、训练和推理报错FAQ](https://gitee.com/wei-pengfei2/study_ascend/tree/master/FAQ) | 昇腾软件栈使用过程报错和解决方法 | ## 大模型 | 目录 | 说明 | | ------------------------------------------------------------ | -------------------------- | | [大模型显存、算力与训练时长估算](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%98%BE%E5%AD%98%E3%80%81%E7%AE%97%E5%8A%9B%E4%B8%8E%E8%AE%AD%E7%BB%83%E6%97%B6%E9%95%BF%E4%BC%B0%E7%AE%97.md) | 显存、算力与训练时长估算方法 | | [部署MIndIE跑qwen1.5-14B-chat大模型推理指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E6%9C%8D%E5%8A%A1MindIE/Atlas%20300I%20DUO%E5%8D%A1%E4%B8%8A%E9%83%A8%E7%BD%B2MIndIE-Server%E6%9C%8D%E5%8A%A1%E8%B7%91LLama2-7B%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E6%8C%87%E5%AF%BC%20.md) | 使用MIndIE部署大模型qwen1.5-14B-chat推理 | | [Atlas 300I DUO卡上部署LLama2-7B大模型推理指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/Atlas%20300I%20DUO%E5%8D%A1%E4%B8%8A%E9%83%A8%E7%BD%B2LLama2-7B%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E6%8C%87%E5%AF%BC%20.md) | Atlas 300I DUO卡上部署LLama2-7B大模型推理 | | [Qwen25-72B大模型Lora微调容器部署指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/Qwen25-72B%E5%A4%A7%E6%A8%A1%E5%9E%8BLora%E5%BE%AE%E8%B0%83%E5%AE%B9%E5%99%A8%E9%83%A8%E7%BD%B2%E6%8C%87%E5%AF%BC.md) | Atlas800I A2 上部署Qwen25-72B大模型Lora微调 | | [LLaMA-Factory大模型训练微调指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/LLaMA-Factory%E5%A4%A7%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83%E5%BE%AE%E8%B0%83%E6%8C%87%E5%AF%BC.md) | 使用LLaMA-Factory进行大模型训练微调指导 | | [Qwen25-72B大模型MindIE1.0RC3推理容器部署指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E6%9C%8D%E5%8A%A1MindIE/Qwen25-72B%E5%A4%A7%E6%A8%A1%E5%9E%8BMindIE1.0RC3%E6%8E%A8%E7%90%86%E5%AE%B9%E5%99%A8%E9%83%A8%E7%BD%B2%E6%8C%87%E5%AF%BC.md) | 使用MIndIE部署大模型qwen2.5-72B推理 | | [OpenAI 接口格式请求MindIE服务端](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/OpenAI%20%E6%8E%A5%E5%8F%A3%E6%A0%BC%E5%BC%8F%E8%AF%B7%E6%B1%82MindIE%E6%9C%8D%E5%8A%A1%E7%AB%AF.md) | 使用openAI接口格式进行推理 | | [OpensoraPlan1.3模型评测指导](https://gitee.com/wei-pengfei2/study_ascend/blob/master/%E5%A4%A7%E6%A8%A1%E5%9E%8B/OpensoraPlan1.3%E6%A8%A1%E5%9E%8B%E8%AF%84%E6%B5%8B%E6%8C%87%E5%AF%BC.md) | MindSpeed-MM仓多模态模型OpensoraPlan1.3预训练与评测 | ## 免责声明 昇腾软件栈使用指导导航提供官网给出的使用指导文档链接。这些指导均由官网维护和更新, 本次只对其按业务场景梳理出导航,方便用户使用。