[WIP] Updating Installation Page

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Ashley 2024-12-27 19:45:35 +07:00
parent ea63879599
commit 43593b4cd2
4 changed files with 26 additions and 50 deletions

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"quickstart": {
"title": "Quickstart"
},
"desktop": "Desktop",
"desktop": "Installation",
"data-folder": "Jan Data Folder",
"privacy": "Privacy",
"user-guides": {

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---
title: Desktop Installation
title: Installation
description: Jan is a ChatGPT-alternative that runs on your computer, with a local API server.
keywords:
[
@ -20,7 +20,7 @@ keywords:
import { Cards, Card } from 'nextra/components'
import childPages from './desktop/_meta.json';
# Desktop Installation
# Installation
<br/>

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@ -31,50 +31,37 @@ Jan has been developed as a Mac Universal application, allowing it to run native
## Compatibility
Ensure that your system meets the following requirements to use Jan effectively:
<Tabs items={['Mac Intel CPU', 'Mac Apple Silicon']}>
<Tabs items={['Mac Apple Silicon','Mac Intel CPU']}>
<Tabs.Tab>
<Tabs items={['Operating System', 'Memory', 'Disk']}>
<Tabs.Tab>
- MacOSX 13.6 or higher.
</Tabs.Tab>
<Tabs.Tab>
- 8GB for running up to 3B models.
- 16GB for running up to 7B models.
- 32GB for running up to 13B models.
</Tabs.Tab>
<Tabs.Tab>
- At least 10GB for app and model download.
</Tabs.Tab>
</Tabs>
</Tabs.Tab>
<Tabs.Tab>
<Tabs items={['Operating System', 'Memory', 'Disk']}>
<Tabs.Tab>
- MacOSX 13.6 or higher.
</Tabs.Tab>
<Tabs.Tab>
- 8GB for running up to 3B models.
- 16GB for running up to 7B models.
- 32GB for running up to 13B models.
- **Operating System:** MacOSX 13.6 or higher
- **Memory:**
- 8GB for running up to 3B models
- 16GB for running up to 7B models
- 32GB for running up to 13B models
<Callout type="info">
Apple Silicon Macs leverage Metal for GPU acceleration, providing faster performance than Intel Macs, which rely solely on CPU processing.
</Callout>
- **Disk:** At least 10GB for app and model download
</Tabs.Tab>
<Tabs.Tab>
- At least 10GB for app and model download.
</Tabs.Tab>
</Tabs>
- **Operating System:** MacOSX 13.6 or higher
- **Memory:**
- 8GB for running up to 3B models
- 16GB for running up to 7B models
- 32GB for running up to 13B models
- **Disk:** At least 10GB for app and model download
</Tabs.Tab>
</Tabs>
## Installing Jan
To install Jan, follow the steps below:
### Step 1: Download the Jan Application
### Step 1: Download Jan Application
Jan provides two types of releases:
<Tabs items={['Stable Releases', 'Nightly Releases']}>
Jan provides 3 types of releases:
<Tabs items={['Stable Release', 'Beta Release', 'Nightly Release']}>
<Tabs.Tab>
#### Stable Releases
@ -88,9 +75,8 @@ Make sure to verify the URL to ensure that it's the official Jan website and Git
</Callout>
</Tabs.Tab>
<Tabs.Tab>
#### Nightly Releases
Nightly Releases let you test out new features, which may be buggy:
Beta releases let you test out new features, which may be buggy:
- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/actions/workflows/jan-electron-build-nightly.yml)
@ -99,6 +85,8 @@ Keep in mind that this build might crash frequently and may contain bugs!
</Callout>
</Tabs.Tab>
</Tabs>
### Step 2: Install the Jan Application
1. Once you have downloaded the Jan app `.dmg` file, open the file.
@ -106,20 +94,8 @@ Keep in mind that this build might crash frequently and may contain bugs!
3. Wait for the installation process.
4. Once installed, you can access Jan on your machine.
#### Install Jan with Homebrew
You can also install Jan using the following Homebrew command:
```bash
brew install --cask jan
```
<Callout type="warning">
- Ensure that you have installed Homebrew and its dependencies.
- Homebrew package installation is currently limited to **Apple Silicon Macs**, with upcoming support for Windows and Linux.
</Callout>
## Data Folder
## Jan Data Folder
By default, Jan is installed in the following directory:

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---
title: Desktop installation
title: Installation
description: Get started quickly with Jan, a ChatGPT-alternative that runs on your own computer, with a local API server. Learn how to install Jan and select an AI model to start chatting.
sidebar_position: 2
keywords: