To Reproduce Steps to reproduce the behavior:

1. boot any 1.3 amd bootc image
2. cat /etc/os-release
3. notice that the following is at the bottom of output

RHEL_AI_VERSION_ID=''

Expected behavior

• RHEL_AI_VERSION_ID="<rhel ai version being used>"

Device Info (please complete the following information):

• Hardware Specs: any AMD Accelerator
• OS Version: any RHEL AI AMD build
• InstructLab Version: ilab, version 0.21.2
• Provide the output of these two commands:
  • sudo bootc status --format json | jq .status.booted.image.image.image
    • registry.redhat.io/rhelai1/bootc-amd-rhel9:1.3
  • ilab system info : 
     

    $ ilab system info
    Platform:
      sys.version: 3.11.7 (main, Oct  9 2024, 00:00:00) [GCC 11.4.1 20231218 (Red Hat 11.4.1-3)]
      sys.platform: linux
      os.name: posix
      platform.release: 5.14.0-427.42.1.el9_4.x86_64
      platform.machine: x86_64
      platform.node: GPUFC5Q
      platform.python_version: 3.11.7
      os-release.ID: rhel
      os-release.VERSION_ID: 9.4
      os-release.PRETTY_NAME: Red Hat Enterprise Linux 9.4 (Plow)
      memory.total: 3023.54 GB
      memory.available: 2979.15 GB
      memory.used: 31.47 GB
    InstructLab:
      instructlab.version: 0.21.2
      instructlab-dolomite.version: 0.2.0
      instructlab-eval.version: 0.4.1
      instructlab-quantize.version: 0.1.0
      instructlab-schema.version: 0.4.1
      instructlab-sdg.version: 0.6.1
      instructlab-training.version: 0.6.1
    Torch:
      torch.version: 2.4.1
      torch.backends.cpu.capability: AVX512
      torch.version.cuda: None
      torch.version.hip: 6.2.41134-65d174c3e
      torch.cuda.available: True
      torch.backends.cuda.is_built: True
      torch.backends.mps.is_built: False
      torch.backends.mps.is_available: False
      torch.cuda.bf16: True
      torch.cuda.current.device: 0
      torch.cuda.0.name: AMD Radeon Graphics
      torch.cuda.0.free: 191.4 GB
      torch.cuda.0.total: 192.0 GB
      torch.cuda.0.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.1.name: AMD Radeon Graphics
      torch.cuda.1.free: 191.4 GB
      torch.cuda.1.total: 192.0 GB
      torch.cuda.1.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.2.name: AMD Radeon Graphics
      torch.cuda.2.free: 191.4 GB
      torch.cuda.2.total: 192.0 GB
      torch.cuda.2.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.3.name: AMD Radeon Graphics
      torch.cuda.3.free: 191.4 GB
      torch.cuda.3.total: 192.0 GB
      torch.cuda.3.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.4.name: AMD Radeon Graphics
      torch.cuda.4.free: 191.4 GB
      torch.cuda.4.total: 192.0 GB
      torch.cuda.4.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.5.name: AMD Radeon Graphics
      torch.cuda.5.free: 191.4 GB
      torch.cuda.5.total: 192.0 GB
      torch.cuda.5.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.6.name: AMD Radeon Graphics
      torch.cuda.6.free: 191.4 GB
      torch.cuda.6.total: 192.0 GB
      torch.cuda.6.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
      torch.cuda.7.name: AMD Radeon Graphics
      torch.cuda.7.free: 191.4 GB
      torch.cuda.7.total: 192.0 GB
      torch.cuda.7.capability: 9.4 (see https://developer.nvidia.com/cuda-gpus#compute)
    llama_cpp_python:
      llama_cpp_python.version: 0.2.79
      llama_cpp_python.supports_gpu_offload: True
    

     

Bug impact

• Please provide information on the impact of this bug to the end user.

Known workaround

• it's generally possible to infer the version from the instructlab container tag or sometimes possible with bootc info if the system isn't following floating tag but this can be difficult to parse with code.

Additional context

• certification tooling depends on this information