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docs: fix href ink

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Arista Indrajaya 2024-03-04 16:43:09 +07:00
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54
docs/docs/guides/install.mdx
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@ -44,7 +44,7 @@ import installImageURL from './assets/jan-ai-download.png';
:::warning :::warning
If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-error/broken-build) section of Common Errors. If you are stuck in a broken build, go to the [Broken Build](/guides/common-error/broken-build) section of Common Errors.
::: :::
@ -86,7 +86,7 @@ If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-
:::warning :::warning
If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-error/broken-build) section of Common Errors. If you are stuck in a broken build, go to the [Broken Build](/guides/common-error/broken-build) section of Common Errors.
::: :::
@ -154,7 +154,7 @@ If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-
:::warning :::warning
If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-error/broken-build) section of Common Errors. If you are stuck in a broken build, go to the [Broken Build](/guides/common-error/broken-build) section of Common Errors.
::: :::
</TabItem> </TabItem>
@ -174,29 +174,6 @@ If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-
- If you have not installed the required file for GPU support, follow the instructions [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html). - If you have not installed the required file for GPU support, follow the instructions [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
::: :::
### Docker Compose Profile and Environment
Before dive in into the steps to run Jan in Docker, ensure that you have understand the following docker compose profile and the environment variable listed below:
#### Docker Compose Profile
| Profile | Description |
|-----------|-------------------------------------------|
| cpu-fs | Run Jan in CPU mode with default file system |
| cpu-s3fs | Run Jan in CPU mode with S3 file system |
| gpu-fs | Run Jan in GPU mode with default file system |
| gpu-s3fs | Run Jan in GPU mode with S3 file system |
#### Environment Variables
| Environment Variable | Description |
|--------------------------|------------------------------------------------------------|
| S3_BUCKET_NAME | S3 bucket name - leave blank for default file system |
| AWS_ACCESS_KEY_ID | AWS access key ID - leave blank for default file system |
| AWS_SECRET_ACCESS_KEY | AWS secret access key - leave blank for default file system|
| AWS_ENDPOINT | AWS endpoint URL - leave blank for default file system |
| AWS_REGION | AWS region - leave blank for default file system |
| API_BASE_URL | Jan Server URL, please modify it as your public ip address or domain name default http://localhost:1377 |
### Run Jan in Docker ### Run Jan in Docker
You can run Jan in Docker with two methods: You can run Jan in Docker with two methods:
1. Run Jan in CPU mode 1. Run Jan in CPU mode
@ -263,10 +240,33 @@ If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-
</TabItem> </TabItem>
</Tabs> </Tabs>
### Docker Compose Profile and Environment
The available Docker Compose profile and the environment variables listed below:
#### Docker Compose Profile
| Profile | Description |
|-----------|-------------------------------------------|
| cpu-fs | Run Jan in CPU mode with default file system |
| cpu-s3fs | Run Jan in CPU mode with S3 file system |
| gpu-fs | Run Jan in GPU mode with default file system |
| gpu-s3fs | Run Jan in GPU mode with S3 file system |
#### Environment Variables
| Environment Variable | Description |
|--------------------------|------------------------------------------------------------|
| S3_BUCKET_NAME | S3 bucket name - leave blank for default file system |
| AWS_ACCESS_KEY_ID | AWS access key ID - leave blank for default file system |
| AWS_SECRET_ACCESS_KEY | AWS secret access key - leave blank for default file system|
| AWS_ENDPOINT | AWS endpoint URL - leave blank for default file system |
| AWS_REGION | AWS region - leave blank for default file system |
| API_BASE_URL | Jan Server URL, please modify it as your public ip address or domain name default http://localhost:1377 |
:::warning :::warning
If you are stuck in a broken build, go to the [Broken Build](/quickstart/common-error/broken-build/) section of Common Errors. If you are stuck in a broken build, go to the [Broken Build](/guides/common-error/broken-build/) section of Common Errors.
::: :::

4
docs/docs/guides/quickstart.mdx
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@ -50,7 +50,7 @@ To get started quickly with Jan, follow the steps below:
Go to [Jan.ai](https://jan.ai/) > Select your operating system > Install the program. Go to [Jan.ai](https://jan.ai/) > Select your operating system > Install the program.
:::note :::note
To learn more about system requirements for your operating system, go to [Installation guide](/quickstart/install). To learn more about system requirements for your operating system, go to [Installation guide](/guides/install).
::: :::
### Step 2: Select AI Model ### Step 2: Select AI Model
@ -60,7 +60,7 @@ Before using Jan, you need to select an AI model that based on your hardware cap
Go to the **Hub** > select the models that you would like to install. Go to the **Hub** > select the models that you would like to install.
:::note :::note
For more info, go to [list of supported models](/quickstart/models-list/). For more info, go to [list of supported models](/guides/models-list/).
::: :::
### Step 3: Use the AI Model ### Step 3: Use the AI Model