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Updating

Red Hat Enterprise Linux AI 1.5

Upgrading your RHEL AI system and models

Red Hat RHEL AI Documentation Team

Abstract

This document provides instructions for updating your RHEL AI instance and updating LLMs

Chapter 1. Updating Red Hat Enterprise Linux AI
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Red Hat Enterprise Linux AI allows you to update your instance so you can use the latest version of RHEL AI and InstructLab.

1.1. Updating your RHEL AI instance
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You can update your instance to use the latest version of RHEL AI and InstructLab

Prerequisites

  • You installed and deployed a Red Hat Enterprise Linux AI instance on one of the supported platforms.
  • You created a Red Hat registry account.
  • You have root user access on your machine.

Procedure

  1. Log into your Red Hat registry account with the podman command: 

    $ sudo podman login registry.redhat.io --username <user-name> --password <user-password> --authfile /etc/ostree/auth.json

    Or you can log in with the skopeo command: 

    $ sudo skopeo login registry.redhat.io --username <user-name> --password <user-password> --authfile /etc/ostree/auth.json

  2. Upgrading to a minor version of Red Hat Enterprise Linux AI

    1. You can upgrade your instance to use the latest version of Red Hat Enterprise Linux AI by using the bootc image for your machines hardware.  

      $ sudo bootc switch registry.redhat.io/rhelai1/bootc-<hardware-vendor>-rhel9:<rhel-ai-version>

      where

      <hardware-vendor>
      Specify the hardare vendor for your accelerators. Valid values include: nvidia, amd, and intel.
      <rhel-ai-version>

      Specify the RHEL AI version you want to upgrade to.

      Example command for machines with NVIDIA accelerators

      $ sudo bootc switch registry.redhat.io/rhelai1/bootc-nvidia-rhel9:1.5

    2. Restart your system by running the following command: 

      $ sudo reboot -n
      Important

      When upgrading to RHEL AI version 1.5, the /etc/skel/.config/containers/storage.conf storage configuration needs to be copied to your <user-home>/.config/containers/storage.conf home directory before re-initializing.

      For example: 

      $ cp /etc/skel/.config/containers/storage.conf <user-home>/.config/containers/storage.con

  3. Upgrading to a z-stream version of Red Hat Enterprise Linux AI

    1. If a z-stream exists, you can upgrade your system to a z-stream version of RHEL AI by running the folllowing command: 

      $ sudo bootc upgrade --apply

  4. It is recommended to re-initialize your environment and configurations after you upgrade to the latest RHEL AI version.

    Warning

    The ilab config init command overrides your existing config.yaml file and sets it to the default configurations per your system hardware. If you customized the config.yaml file, ensure you are familiar with your custom configurations before re-initializing. 

    $ ilab config init

Chapter 2. Updating a model
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Red Hat Enterprise Linux AI allows you to upgrade LLMs that you locally downloaded to the latest version of the model.

Expand
Table 2.1. RHEL AI version 1.5 LLM support
ModelDescriptionVersion introducedNVIDIAAMDIntel

granite-3.1-8b-starter-v2.1

Version 2 of the Granite 3.1 base model for customizing and fine-tuning

1.5.1

Default

Default

Not available

granite-3.1-8b-lab-v2.1

Version 2 of the Granite 3.1 model for inference serving

1.5.1

Default

Default

Not available

granite-3.1-8b-starter-v2

Version 2 of the Granite 3.1 base model for customizing and fine-tuning

1.5

Available

Available

Default

granite-3.1-8b-lab-v2

Version 2 of the Granite 3.1 model for inference serving

1.5.1

Available

Available

Default

2.1. Updating the models
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You can upgrade your local models to the latest version of the model using the RHEL AI tool set.

Prerequisites

  • You installed the InstructLab tools with the bootable container image.
  • You initialized InstructLab and can use the ilab CLI.
  • You downloaded LLMs on Red Hat Enterprise Linux AI.
  • You created a Red Hat registry account and logged in on your machine.

Procedure

  1. You can upgrade any model by running the following command. 

    $ ilab model download --repository <repository_and_model> --release latest

    where:

    <repository_and_model>
    Specifies the repository location of the model as well as the model. You can access the models from the registry.redhat.io/rhelai1/ repository.
    <release>
    Specifies the version of the model. Set to latest, or a specific version of the model, for the most up to date version of the model.

Verification

  1. You can view all the downloaded models on your system with the following command: 

    $ ilab model list

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