Apache License 2.0

项目介绍

JHubi1/ollama-app 是一个托管在 GitHub 上的开源项目,主要使用 Dart 编写,采用 Apache License 2.0 许可证,目前获得 1.8k 个 Star、221 次 Fork。

仓库全名
JHubi1/ollama-app
开源许可证
Apache License 2.0
Star 数
1.8k
Fork 数
221
未关闭 Issue
32

README 摘要

Ollama App A modern and easy-to-use client for Ollama. Have the greatest experience while keeping everything private and in your local network. [!IMPORTANT] This app does not host a Ollama server on device, but rather connects to one using its api endpoint. You don't know what Ollama is? Learn more at ollama.com. Getting Started Ollama App has a pretty simple and intuitive interface to be as open as possible…

完整内容见 GitHub 原始 README 或本页 。

常见问题

ollama-app 用什么语言开发?

主要使用 Dart 编写,采用 Apache License 2.0 许可证,目前有 1.8k 个 Star。

ollama-app 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 ollama-app 的源码?

可以直接克隆仓库:git clone https://github.com/JHubi1/ollama-app.git,默认分支为 main;安装与运行步骤见仓库 README。

ollama-app 最近还在维护吗?

仓库最近一次更新为 10月3日,当前有 32 个未关闭 Issue;Star 数为 1.8k,可作为社区活跃度的参考。

简要分析

热度分
2288
价值分
1161
活跃状态
活跃

语言占比

Batchfile
C
C++
CMake
Dart
HTML
Inno Setup
Kotlin

Release

README

Ollama App

A modern and easy-to-use client for Ollama. Have the greatest experience while keeping everything private and in your local network.

banner 1: home screen banner 2: model selector banner 3: sample message banner 4: opened sidebar

[!IMPORTANT] This app does not host a Ollama server on device, but rather connects to one using its api endpoint. You don’t know what Ollama is? Learn more at ollama.com.

Getting Started

Ollama App has a pretty simple and intuitive interface to be as open as possible. Everything just works out of the box, you just have to follow the next steps.

Installation

You’ll find the latest recommended version of the Ollama App under the releases tab. Download the correct executable onto your device and install it. If you want to install on a desktop platform, you might also have to follow the steps listed below, under Ollama App for Desktop.

Alternatively, you can also download the app from any of the following stores:

That’s it, you’ve successfully installed Ollama App! Now just proceed to Initial Setup or alternatively Setup below.

Ollama App for Desktop

Warning 警告

This is still an experimental feature! Some functions may not work as intended. If you come across any errors, please create a new issue report.

There are a few things you might have to keep in mind if you’re planning to use the experimental desktop support.

Windows

The Windows version is provided in the form of an installer, you can find it attached on the latest release. It’s not signed, you might have to dismiss the Windows Defender screen by pressing “View More” > “Run Anyway”.

Windows app data is kept at: C:\Users\[user]\AppData\Roaming\JHubi1\Ollama App

Linux

The Linux version is provided in the form of a portable executable, you can find it attached on the latest release. To start it, execute ./ollama in the extracted folder.

If a message like error while loading shared libraries: libgtk-3.so.0: cannot open shared object file appears when you start the app, run the following commands:

  • sudo apt-get update
  • sudo apt-get upgrade
  • sudo apt-get install packagekit-gtk3-module

Linux app data is kept at: /home/[user]/.local/share/ollama

Setup

The most difficult part is setting up the host. To learn more visit the wiki guide on how to do so. After setting up, you normally don’t have to enter it again.

And you’re done! Just start chatting with your local AI and have fun!

Tip 提示

The new Voice Mode is now avaliable as an experimental feature. Learn more about it in the documentation.

Documentation

The documentation for components, settings, functions, etc. has moved to the Wiki Page of this repository. The steps there will be updated with future versions. Still having questions? Feel free to open an issue.

Translations and Contribution

You want to help me make this project even better? Great, help is always appresheated.

Ollama App is created using Flutter, a modern and robust frontend framework designed to make a single codebase run on multiple target platforms. The framework itself is based on the Dart programming language.

Read more in the Contribution Guide.

Star History

Star History Chart

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