Chapter 4. Model management

There are a various ways you can organize and manage your custom or downloaded models on RHEL AI

4.1. Uploading your models to a registry

After you fine-tune a model, you can upload the model to an external registry. RHEL AI currently supports uploading models to AWS S3 buckets.

Prerequisites

You installed RHEL AI on your preferred platform.
You initialized InstructLab.
Log in to your preferred registry.

Procedure

You can upload your models to a specific registry with the following command
```
$ ilab model upload --model <name-of-model> --destination <registry-location> --dest-type <registry-type>
```
where:
<name-of-model>
Specify the checkpoint name you want to upload. For example, --model samples_0801. You can also specify the path to the checkpoint.
<registry-location>
Specify where you want to upload the model. For example, --destination example-s3-bucket
<registry-type>
Specify the model type. Valid values include: s3.
Example ilab model upload command to an s3 bucket
```
$ ilab model upload --model samples_0801 --destination example-s3-bucket --dest-type s3
```

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