[WIP] updating docs...
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@ -28,13 +28,15 @@ import FAQBox from '@/components/FaqBox'
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# Linux Installation
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To install Jan desktop on Linux, follow the steps below:
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## Compatibility
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Ensure that your system meets the following requirements to use Jan effectively:
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<Tabs items={['OS', 'CPU', 'RAM', 'GPU', 'Disk']}>
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<Tabs.Tab>
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- Debian-based (Supports `.deb` and `AppImage` )
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- Ubuntu-based
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- Ubuntu Desktop LTS (official)/ Ubuntu Server LTS (only for server)
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#### Debian-based (Supports `.deb` and `AppImage`)
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- Debian
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- Ubuntu and derivatives:
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- Ubuntu Desktop LTS (official)/Ubuntu Server LTS (only for server)
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- Edubuntu (Mainly desktop)
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- Kubuntu (Desktop only)
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- Lubuntu (Both desktop and server, though mainly desktop)
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@ -42,152 +44,131 @@ Ensure that your system meets the following requirements to use Jan effectively:
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- Ubuntu Cinnamon (Desktop only)
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- Ubuntu Kylin (Both desktop and server)
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- Ubuntu MATE (Desktop only)
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- Pacman-based
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- Arch Linux based
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- Arch Linux (Mainly desktop)
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- SteamOS (Desktop only)
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- RPM-based (Supports `.rpm` and `AppImage` )
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- Fedora-based
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- RHEL-based (Server only)
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#### RHEL-based (Supports `.rpm` and `AppImage`)
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- RHEL-based (Server only)
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- Fedora
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#### Arch-based
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- Arch Linux (Mainly desktop)
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- SteamOS (Desktop only)
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#### Independent
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- openSUSE (Both desktop and server)
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<Callout type="info">
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- Please check whether your Linux distribution supports desktop, server, or both environments.
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<Callout type="info">
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Please check whether your Linux distribution supports desktop, server, or both environments.
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</Callout>
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</Tabs.Tab>
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</Callout>
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</Tabs.Tab>
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<Tabs.Tab>
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<Tabs items={['Intel', 'AMD']}>
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<Tabs.Tab>
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- Haswell processors (Q2 2013) and newer
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- Tiger Lake (Q3 2020) and newer for Celeron and Pentium processors
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- Excavator processors (Q2 2015) and newer
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<Callout type="info">
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- Jan supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2).
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- We support older processors with AVX and AVX-512, though this is not recommended.
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Jan requires a processor with AVX2 for best performance. See [full list of supported processors.](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2) While older processors with AVX/AVX-512 will work, you may experience slower performance.
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</Callout>
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- Haswell processors (Q2 2013) and newer.
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- Tiger Lake (Q3 2020) and newer for Celeron and Pentium processors.
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</Tabs.Tab>
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<Tabs.Tab>
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- 8GB → 3B models (int4)
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- 16GB → 7B models (int4)
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- 32GB → 13B models (int4)
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<Callout type="info">
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- Jan supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2).
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- We support older processors with AVX and AVX-512, though this is not recommended.
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DDR2 RAM minimum supported, newer generations recommended for better performance.
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</Callout>
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- Excavator processors (Q2 2015) and newer.
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</Tabs.Tab>
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<Tabs.Tab>
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- 6GB → 3B model (int4) with `ngl` at 120
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- 8GB → 7B model (int4) with `ngl` at 120
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- 12GB → 13B model (int4) with `ngl` at 120
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<Callout type="info">
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Minimum 6GB VRAM recommended for NVIDIA, AMD, or Intel Arc GPUs.
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</Callout>
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</Tabs.Tab>
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<Tabs.Tab>
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At least 10GB for app installation and model downloads.
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</Tabs.Tab>
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</Tabs>
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</Tabs.Tab>
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<Tabs.Tab>
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- 8GB for running up to 3B models (int4).
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- 16GB for running up to 7B models (int4).
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- 32GB for running up to 13B models (int4).
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<Callout type="info">
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We support DDR2 RAM as the minimum requirement but recommend using newer generations of RAM for improved performance.
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</Callout>
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</Tabs.Tab>
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<Tabs.Tab>
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- 6GB can load the 3B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU.
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- 8GB can load the 7B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU.
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- 12GB can load the 13B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU.
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<Callout type="info">
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Having at least 6GB VRAM when using NVIDIA, AMD, or Intel Arc GPUs is recommended.
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</Callout>
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</Tabs.Tab>
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<Tabs.Tab>
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- At least 10GB for app storage and model download.
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</Tabs.Tab>
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</Tabs>
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## Prerequisites
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- **System Libraries**:
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- glibc 2.27 or higher. You can verify this by running `ldd --version`.
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- Install gcc-11, g++-11, cpp-11, or later versions. Refer to the [Ubuntu installation guide](https://gcc.gnu.org/projects/cxx-status.html#cxx17) for assistance.
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- **Post-Installation Actions**:
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- Add CUDA libraries to the `LD_LIBRARY_PATH` per the instructions in the [Post-installation Actions](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions).
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## Installing Jan
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## Install Jan
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To install Jan, follow the steps below:
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### Step 1: Download the Jan Application
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### Step 1: Download Application
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Jan provides two types of releases:
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<Tabs items={['Stable Releases', 'Nightly Releases']}>
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Jan provides 3 types of releases:
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<Tabs items={['Stable Release', 'Beta Release', 'Nightly Release']}>
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<Tabs.Tab>
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#### Stable Releases
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Please download Jan from official distributions, or build it from source.
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- Download Jan on **Ubuntu**: [jan.deb](https://app.jan.ai/download/latest/linux-amd64-deb)
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- Download Jan on **Fedora**: [jan.AppImage](https://app.jan.ai/download/latest/linux-amd64-appimage)
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- Official Website: https://jan.ai/download
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The stable release is a stable version of Jan. You can download a stable release Jan app via the following:
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</Tabs.Tab>
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<Tabs.Tab>
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- **Official Website**: [https://jan.ai](https://jan.ai/)
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- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/releases)
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Beta releases let you test new features, which may be buggy:
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- Download Jan's Beta Version on **Ubuntu**: [jan.deb](https://app.jan.ai/download/beta/linux-amd64-deb)
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- Download Jan's Beta Version on **Fedora**: [jan.AppImage](https://app.jan.ai/download/beta/linux-amd64-appimage)
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<Callout type="info">
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Make sure to verify the URL to ensure that it's the official Jan website and GitHub repository.
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Keep in mind that this build might crash frequently or contain bugs!
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</Callout>
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</Tabs.Tab>
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<Tabs.Tab>
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#### Nightly Releases
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The nightly Release allows you to test out new features and get a sneak peek at what might be included in future stable releases. You can download this version via:
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Nightly releases are for internal team to test new feature builds everyday, which is very be buggy:
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- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/actions/workflows/jan-electron-build-nightly.yml)
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- Download Jan's Nightly Version on **Ubuntu**: [jan.deb](https://app.jan.ai/download/nightly/linux-amd64-deb)
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- Download Jan's Nightly Version on **Fedora**: [jan.AppImage](https://app.jan.ai/download/nightly/linux-amd64-appimage)
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<Callout type="info">
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Keep in mind that this build might crash frequently and may contain bugs!
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Keep in mind that this build crashes frequently or contains bugs!
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</Callout>
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</Tabs.Tab>
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</Tabs>
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For Linux, Jan provides two types of downloads:
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1. **Ubuntu**: `.deb`
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2. **Fedora**: `.AppImage`
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### Step 2: Install the Jan Application
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### Step 2: Install Application
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Here are the steps to install Jan on Linux based on your Linux distribution:
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<Tabs items={['Ubuntu', 'Fedora']}>
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<Tabs.Tab>
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### Ubuntu
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Install Jan using the following command:
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<Tabs items={['dpkg', 'apt-get']}>
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<Tabs.Tab>
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```
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Install Jan using either **dpkg** or **apt-get**:
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##### dpkg
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```bash
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# Install Jan using dpkg
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sudo dpkg -i jan-linux-amd64-{version}.deb
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```
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</Tabs.Tab>
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<Tabs.Tab>
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```json
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##### apt-get
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```bash
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# Install Jan using apt-get
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sudo apt-get install ./jan-linux-amd64-{version}.deb
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# where jan-linux-amd64-{version}.deb is the path to the Jan package
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```
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</Tabs.Tab>
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</Tabs>
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</Tabs.Tab>
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<Tabs.Tab>
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### Fedora
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1. Make the AppImage executable using the following command:
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```
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chmod +x jan-linux-x86_64-{version}.AppImage
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```bash
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chmod +x jan-linux-x86_64-{version}.AppImage
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```
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2. Run the AppImage file using the following command:
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```
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./jan-linux-x86_64-{version}.AppImage
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```bash
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./jan-linux-x86_64-{version}.AppImage
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```
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</Tabs.Tab>
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</Tabs>
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## Data Folder
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By default, Jan is installed in the following directory:
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@ -202,65 +183,60 @@ or
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~/.config/Jan/data
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```
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See [Jan Data Folder](/docs/data-folder) for more details about the data folder structure.
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<Callout type="info">
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- Please see the [Jan Data Folder](/docs/data-folder) for more details about the data folder structure.
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</Callout>
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## GPU Acceleration
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Once Jan is installed and you have a GPU, you can use your GPU to accelerate the model's performance.
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### NVIDIA GPU
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To enable the use of your NVIDIA GPU in the Jan app, follow the steps below:
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<Tabs items={['NVIDIA GPU', 'AMD GPU', 'Intel Arc GPU']}>
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<Tabs.Tab>
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<Callout type="info">
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Ensure that you have installed the following to use NVIDIA GPU:
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- NVIDIA GPU with CUDA Toolkit 11.7 or higher.
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- NVIDIA driver 470.63.01 or higher.
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- **NVIDIA GPU** with CUDA Toolkit 11.7 or higher
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- **NVIDIA driver** 470.63.01 or higher
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</Callout>
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1. Open Jan application.
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2. Go to **Settings** -> **Advanced Settings** -> **GPU Acceleration**.
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3. Enable and choose the NVIDIA GPU you want.
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4. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
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To enable the use of your NVIDIA GPU in the Jan app, follow the steps below:
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1. Open Jan application
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2. Go to **Settings** → **Advanced Settings** → **GPU Acceleration**
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3. Enable and choose the NVIDIA GPU you want
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4. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated
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<Callout type="info">
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While **Vulkan** can enable Nvidia GPU acceleration in the Jan app, **CUDA** is recommended for faster performance.
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</Callout>
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</Tabs.Tab>
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### AMD GPU
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<Tabs.Tab>
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To enable the use of your AMD GPU in the Jan app, you need to activate the Vulkan support first by following the steps below:
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1. Open Jan application.
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2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**.
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3. Enable the **Vulkan Support** under the **GPU Acceleration**.
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4. Enable the **GPU Acceleration** and choose the GPU you want to use.
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5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
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### Intel Arc GPU
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1. Open Jan application
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2. Go to **Settings** → **Advanced Settings** → enable the **Experimental Mode**
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3. Enable the **Vulkan Support** under the **GPU Acceleration**
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4. Enable the **GPU Acceleration** and choose the AMD GPU you want to use
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5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated
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</Tabs.Tab>
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<Tabs.Tab>
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To enable the use of your Intel Arc GPU in the Jan app, you need to activate the Vulkan support first by following the steps below:
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1. Open Jan application.
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2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**.
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3. Enable the **Vulkan Support** under the **GPU Acceleration**.
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4. Enable the **GPU Acceleration** and choose the GPU you want to use.
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5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
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1. Open Jan application
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2. Go to **Settings** → **Advanced Settings** → enable the **Experimental Mode**
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3. Enable the **Vulkan Support** under the **GPU Acceleration**
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4. Enable the **GPU Acceleration** and choose the Intel Arc GPU you want to use
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5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated
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</Tabs.Tab>
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</Tabs>
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## Uninstalling Jan
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## Uninstall Jan
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To uninstall Jan, follow the steps below:
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Open **Terminal** and run these commands to remove all Jan-related data:
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<Tabs items={['Ubuntu', 'Fedora']}>
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<Tabs.Tab>
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### Ubuntu
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```bash
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# Uninstall Jan
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sudo apt-get remove jan
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@ -276,7 +252,6 @@ rm -rf ~/.config/Jan/cache
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```
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</Tabs.Tab>
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<Tabs.Tab>
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### Fedora
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```bash
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# Uninstall Jan
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@ -291,9 +266,8 @@ rm -rf ~/.config/Jan/cache
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</Tabs.Tab>
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</Tabs>
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<Callout type="info">
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The deleted Data Folder cannot be restored.
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<Callout type="warning">
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Deleted data folders cannot be restored. Make sure to backup any important data before proceeding with deletion.
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</Callout>
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{/* ## FAQs
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@ -79,7 +79,7 @@ Keep in mind that this build might crash frequently or contain bugs!
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</Tabs.Tab>
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<Tabs.Tab>
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Nightly releases are for internal team to test new feature build everyday, which is very be buggy:
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Nightly releases are for internal team to test new feature builds everyday, which is very be buggy:
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||||
|
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[Download Jan's Nightly Version](https://app.jan.ai/download/nightly/mac-universal)
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@ -133,7 +133,9 @@ rm -rf ~/Library/Application\ Support/Jan/data
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# Delete application cache
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rm -rf ~/Library/Application\ Support/Jan/cache
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```
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This will completely remove Jan and all associated data from your system.
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<Callout type="warning">
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Deleted data folders cannot be restored. Make sure to backup any important data before proceeding with deletion.
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</Callout>
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{/* ## FAQs
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@ -40,8 +40,7 @@ Ensure that your system meets the following requirements to use Jan effectively:
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</Tabs.Tab>
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</Tabs>
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<Callout type="info">
|
||||
- Jan requires a processor with AVX2 for best performance. See [full list of supported processors.](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2)
|
||||
- While older processors with AVX/AVX-512 will work, you may experience slower performance.
|
||||
Jan requires a processor with AVX2 for best performance. See [full list of supported processors.](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2) While older processors with AVX/AVX-512 will work, you may experience slower performance.
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</Callout>
|
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- **Memory (RAM)**
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- 8GB → 3B parameter models (int4)
|
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@ -51,11 +50,11 @@ Ensure that your system meets the following requirements to use Jan effectively:
|
||||
DDR2 RAM is supported but newer RAM generations are recommended for better performance.
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||||
</Callout>
|
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- **GPU**:
|
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- 6GB → 3B models with number of GPU layers (`ngl`) at 120 (full speed)
|
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- 8GB → 7B models with number of GPU layers (`ngl`) at 120 (full speed)
|
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- 12GB → 13B models with number of GPU layers (`ngl`) at 120 (full speed)
|
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- 6GB → 3B models with **ngl** at 120 (full speed)
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- 8GB → 7B models with **ngl** at 120 (full speed)
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- 12GB → 13B models with **ngl** at 120 (full speed)
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<Callout type="info">
|
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Having at least 6GB VRAM when using NVIDIA, AMD, or Intel Arc GPUs is recommended.
|
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Minimum 6GB VRAM recommended for NVIDIA, AMD, or Intel Arc GPUs.
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</Callout>
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- **Storage:** Minimum 10GB free space for application and model downloads
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@ -87,7 +86,7 @@ Keep in mind that this build might crash frequently or contain bugs!
|
||||
</Tabs.Tab>
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||||
<Tabs.Tab>
|
||||
|
||||
Nightly releases are for internal team to test new feature build everyday, which is very be buggy:
|
||||
Nightly releases are for internal team to test new feature builds everyday, which is very be buggy:
|
||||
|
||||
[Download Jan's Nightly Version](https://app.jan.ai/download/nightly/win-x64)
|
||||
|
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@ -113,76 +112,79 @@ By default, Jan is installed in the following directory:
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|
||||
```
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|
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<Callout type="info">
|
||||
- Please see the [Jan Data Folder](/docs/data-folder) for more details about the data folder structure.
|
||||
</Callout>
|
||||
See [Jan Data Folder](/docs/data-folder) for more details about the data folder structure.
|
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|
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|
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## GPU Acceleration
|
||||
Jan can leverage your GPU to significantly improve model performance and inference speed. Here's how to enable GPU acceleration for different hardware:
|
||||
|
||||
Once Jan is installed and you have a GPU, you can use your GPU to accelerate the model's performance.
|
||||
<Tabs items={['NVIDIA GPU', 'AMD GPU', 'Intel Arc GPU']}>
|
||||
|
||||
### NVIDIA GPU
|
||||
|
||||
To enable the use of your NVIDIA GPU in the Jan app, follow the steps below:
|
||||
<Tabs.Tab>
|
||||
Before enabling NVIDIA GPU support, ensure you have:
|
||||
- **CUDA Toolkit** 11.7 or higher installed
|
||||
- **NVIDIA driver** version 470.63.01 or higher
|
||||
|
||||
Follow the steps below to enable the use of your NVIDIA GPU:
|
||||
1. Launch Jan
|
||||
2. Navigate to **Settings** → **Advanced Settings** → Turn on **GPU Acceleration**
|
||||
3. Select and enable your NVIDIA GPU
|
||||
4. App reload is required after the selection
|
||||
<Callout type="info">
|
||||
Ensure that you have installed the following to use NVIDIA GPU:
|
||||
- NVIDIA GPU with CUDA Toolkit 11.7 or higher.
|
||||
- NVIDIA driver 470.63.01 or higher.
|
||||
While Jan supports both CUDA and Vulkan for NVIDIA GPUs, we strongly recommend using CUDA for optimal performance.
|
||||
</Callout>
|
||||
</Tabs.Tab>
|
||||
|
||||
1. Open Jan application.
|
||||
2. Go to **Settings** -> **Advanced Settings** -> **GPU Acceleration**.
|
||||
3. Enable and choose the NVIDIA GPU you want.
|
||||
4. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
|
||||
<Tabs.Tab>
|
||||
AMD GPUs require **Vulkan** support, which must be activated through **Experimental Mode**.
|
||||
1. Launch Jan
|
||||
2. Navigate to **Settings** → **Advanced Settings**
|
||||
3. Enable **Experimental Mode**
|
||||
4. Under **GPU Acceleration**, enable **Vulkan Support**
|
||||
5. Enable **GPU Acceleration** and select your AMD GPU
|
||||
6. App reload is required after the selection
|
||||
</Tabs.Tab>
|
||||
|
||||
<Callout type="info">
|
||||
While **Vulkan** can enable Nvidia GPU acceleration in the Jan app, **CUDA** is recommended for faster performance.
|
||||
</Callout>
|
||||
<Tabs.Tab>
|
||||
Intel Arc GPUs require **Vulkan** support, which must be activated through **Experimental Mode**.
|
||||
1. Launch Jan
|
||||
2. Navigate to **Settings** → **Advanced Settings**
|
||||
3. Enable **Experimental Mode**
|
||||
4. Under **GPU Acceleration**, enable **Vulkan Support**
|
||||
5. Enable **GPU Acceleration** and select your Intel Arc GPU
|
||||
6. App reload is required after the selection
|
||||
</Tabs.Tab>
|
||||
|
||||
### AMD GPU
|
||||
</Tabs>
|
||||
|
||||
To enable the use of your AMD GPU in the Jan app, you need to activate the Vulkan support first by following the steps below:
|
||||
|
||||
1. Open Jan application.
|
||||
2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**.
|
||||
3. Enable the **Vulkan Support** under the **GPU Acceleration**.
|
||||
4. Enable the **GPU Acceleration** and choose the AMD GPU you want to use.
|
||||
5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
|
||||
|
||||
### Intel Arc GPU
|
||||
|
||||
To enable the use of your Intel Arc GPU in the Jan app, you need to activate the Vulkan support first by following the steps below:
|
||||
|
||||
1. Open Jan application.
|
||||
2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**.
|
||||
3. Enable the **Vulkan Support** under the **GPU Acceleration**.
|
||||
4. Enable the **GPU Acceleration** and choose the Intel Arc GPU you want to use.
|
||||
5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
|
||||
|
||||
|
||||
## Uninstall Jan
|
||||
|
||||
To uninstall Jan, follow the steps below:
|
||||
### Step 1: Remove Application through Control Panel
|
||||
|
||||
### Step 1: Open the Control Panels
|
||||
1. Open **Control Panels**
|
||||
2. Go to **Programs** section
|
||||
3. Click **Uninstall Program**
|
||||
4. Search for **Jan**
|
||||
5. Click the **three dots icon → Uninstall**
|
||||
6. Click **Uninstall** again to confirm
|
||||
7. Click **OK**
|
||||
|
||||
1. Open the **Control Panels**.
|
||||
2. Click **Uninstall Program** under the **Programs** section.
|
||||
### Step 2: Handle Jan Data
|
||||
When prompted with: `Do you also want to delete the DEFAULT Jan data folder at C:\Users{username}\Jan?`
|
||||
- Click **OK** to remove all Jan data
|
||||
- Click **Cancel** to keep your Jan data for future installations
|
||||
|
||||
### Step 2: Uninstall Application
|
||||
### Step 3: Clean Up Remaining Files
|
||||
|
||||
1. Search for **Jan**.
|
||||
2. Click the **three dots icon** -> **Uninstall**.
|
||||
3. Click **Uninstall** once again to confirm the action.
|
||||
4. Click **OK**.
|
||||
5. A message will appear: **"Do you also want to delete the DEFAULT Jan data folder at C:\Users\{username}\Jan?"**.
|
||||
6. Click **OK** to delete the entire Jan data folder, or click **Cancel** to save your Jan Data folder so you can use this on the new installation folder.
|
||||
7. Navigate to `users/{username}/AppData/Roaming`.
|
||||
8. Delete the `Jan` folder that contains the app cache.
|
||||
To ensure a complete uninstallation, remove the app cache:
|
||||
|
||||
1. Navigate to `C:\Users\[username]\AppData\Roaming`
|
||||
2. Delete Jan folder
|
||||
|
||||
<Callout type="warning">
|
||||
The deleted Data Folder cannot be restored.
|
||||
Deleted data folders cannot be restored. Make sure to backup any important data before proceeding with deletion.
|
||||
</Callout>
|
||||
|
||||
{/* ## FAQs
|
||||
|
||||
@ -60,11 +60,10 @@ For more model installation methods, please visit [Model Management](/docs/model
|
||||
<br/>
|
||||
|
||||
### Step 3: Turn on the GPU Acceleration (Optional)
|
||||
While waiting for model downloading, let's customize your hardware setup. If you have a graphics card, boost model performance by enabling GPU acceleration:
|
||||
1. Open Jan application.
|
||||
2. Go to **Settings** -> **Advanced Settings** -> **GPU Acceleration**.
|
||||
3. Click the Slider and choose your preferred GPU.
|
||||
3. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated.
|
||||
While the model downloads, let's optimize your hardware setup. If you have a compatible graphics card, you can significantly boost model performance by enabling GPU acceleration:1. Open Jan application.
|
||||
1. Navigate to **Settings** → **Advanced Settings** → Turn on **GPU Acceleration**
|
||||
2. Choose your preferred GPU
|
||||
3. App reload is required after the selection
|
||||
<Callout type="info">
|
||||
Ensure you have installed your GPU driver. Please see [Desktop](/docs/desktop) for more information on activating the GPU acceleration.
|
||||
</Callout>
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user