# 至慧云 **Repository Path**: caiyuanlin_13/pytorch-yun ## Basic Information - **Project Name**: 至慧云 - **Description**: 企业级大模型训练平台 - **Primary Language**: Python - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: https://zhihuiyun.isxcode.com - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 6 - **Created**: 2025-03-01 - **Last Updated**: 2025-03-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 至慧云 ### 超轻量级大模型训练平台 [![Docker Pulls](https://img.shields.io/docker/pulls/isxcode/zhihuiyun)](https://hub.docker.com/r/isxcode/zhihuiyun) [![build](https://github.com/isxcode/pytorch-yun/actions/workflows/build-zhihuiyun.yml/badge.svg?branch=main)](https://github.com/isxcode/pytorch-yun/actions/workflows/build-zhihuiyun.yml) [![GitHub Repo stars](https://img.shields.io/github/stars/isxcode/pytorch-yun)](https://github.com/isxcode/pytorch-yun) [![GitHub forks](https://img.shields.io/github/forks/isxcode/pytorch-yun)](https://github.com/isxcode/pytorch-yun/fork) [![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fisxcode%2Fpytorch-yun.svg?type=shield&issueType=license)](https://app.fossa.com/projects/git%2Bgithub.com%2Fisxcode%2Fpytorch-yun?ref=badge_shield&issueType=license) [![GitHub License](https://img.shields.io/github/license/isxcode/pytorch-yun)](https://github.com/isxcode/pytorch-yun/blob/main/LICENSE) | | | |-----------|-------------------------------------------------------------------------| | 官网地址: | https://zhihuiyun.isxcode.com | | 源码地址: | https://github.com/isxcode/pytorch-yun | | 演示环境: | https://zhihuiyun-demo.isxcode.com | | 安装包下载: | https://isxcode.oss-cn-shanghai.aliyuncs.com/zhihuiyun/zhihuiyun.tar.gz | | 许可证下载: | https://isxcode.oss-cn-shanghai.aliyuncs.com/zhihuiyun/license.lic | | docker镜像: | https://hub.docker.com/r/isxcode/zhihuiyun | | 阿里云镜像: | https://zhihuiyun.isxcode.com/zh/docs/zh/1/1-docker | | 关键词: | 大模型平台, 模型调用, 模型编排, 人工智能, Pytorch, Docker | | | | ### 产品介绍        至慧云是一款超轻量级、企业级大模型训练平台,基于Pytorch生态打造。一键部署,开箱即用。快速实现大模型训练、模型调用、机器人代理、模型编排、自定义接口、等多种功能,为企业提供高效便捷的大模型解决方案。 ### 功能特点 - **轻量级产品**: 无需额外组件安装,一键部署,开箱即用。 - **云原生私有化**: 兼容云原生架构,支持多节点安装与高可用集群部署。 - **复杂模型调试**: 基于原生Pytorch分布式架构,高效地执行模型训练计算。 ### 立即体验      演示地址:https://zhihuiyun-demo.isxcode.com
     体验账号:user001
     账号密码:welcome1 ### 快速部署 > 访问地址:http://localhost:8080
> 管理员账号:admin
> 管理员密码:admin123 ```bash docker run -p 8080:8080 -d isxcode/zhihuiyun ``` ### 相关文档 - [快速入门](https://zhihuiyun.isxcode.com/zh/docs/zh/1/0) - [产品手册](https://zhihuiyun.isxcode.com/zh/docs/zh/2/0) - [开发手册](https://zhihuiyun.isxcode.com/zh/docs/zh/6/1) - [博客](https://ispong.isxcode.com/tags/pytorch/) ### 源码构建 > 注意!!!编译环境需访问外网,且需提前安装Nodejs和Java,推荐版本如下:
> Java: zulu8.78.0.19-ca-jdk8.0.412-x64
> Nodejs: node-v18.20.3-x64 ##### MacOS/Linux > 安装包路径: pytorch-yun/pytorch-yun-dist/build/distributions/zhihuiyun.tar.gz ```bash git clone https://github.com/isxcode/pytorch-yun.git cd pytorch-yun ./gradlew install clean package ``` ##### Windows10/11 > 注意!!!请使用Git Bash终端工具执行以下命令 ```bash git clone https://github.com/isxcode/pytorch-yun.git cd pytorch-yun ./gradlew.bat install clean package ``` ### 联系我们 邮箱:hello@isxcode.com