Cancel Job

Prerequisites

Before you can cancel a customization job, make sure that you have configured a CLI context that points at your NeMo Helix deployment. Refer to Connect with CLI Contexts.

To Cancel a Customization Job

Running jobs may be cancelled. A cancelled job does not upload checkpoints. Customization jobs run on the platform’s Jobs service, so you cancel them through that service (the same way for both backends) using the job’s name and workspace. You can get these from List Active Jobs.

Use the SDK to cancel a job:

from nemo_helix_plugin.client.client import NemoClient
# Initialize the client
client = NemoClient.from_config()
# Cancel a job (use the job name and workspace from List Active Jobs)
job_name = "automodel-a1b2c3d4e5f6"
workspace = "default"
cancelled_job = client.jobs.cancel_job(name=job_name, workspace=workspace).data()
print(f"Job {cancelled_job.name} has been cancelled")
print(f"Current status: {cancelled_job.status}")
print(f"Updated at: {cancelled_job.updated_at}")

These examples use the default workspace. If your current CLI context uses a different workspace, run nemo config set --workspace default first. To check, run nemo config view.

Example Response

:open:

{
  "name": "automodel-a1b2c3d4e5f6",
  "workspace": "default",
  "id": "platform-job-2k8i3i1HqJHHPVB5M6Bk9Z",
  "source": "customization",
  "status": "cancelled",
  "spec": {
    "model": "default/qwen3-0.6b",
    "dataset": { "training": "default/my-training-dataset" },
    "training": {
      "training_type": "sft",
      "finetuning_type": "all_weights",
      "max_seq_length": 4096
    },
    "schedule": { "epochs": 3 },
    "batch": { "global_batch_size": 16, "micro_batch_size": 1 },
    "optimizer": { "learning_rate": 1e-05 },
    "parallelism": {
      "num_gpus_per_node": 1,
      "tensor_parallel_size": 1
    },
    "output": {
      "name": "my-finetuned-qwen",
      "type": "model",
      "fileset": "my-finetuned-qwen-a1b2c3d4e5f6"
    }
  },
  "created_at": "2026-02-09T10:30:00.000Z",
  "updated_at": "2026-02-09T10:35:00.000Z"
}