--accels | -a | integer | Number of accelerators/GPUs to use. Default: 1 |
--affinity | | key-value | Affinity rules for the workload. |
--build-secret | | key-value | FlexAI Secrets to make available during the image build process. Format: <flexai_secret_name>=<environment_variable_name> |
--checkpoint | -C | string | A Checkpoint to use as a starting point for a Fine-tuning Job. The name of a previously pushed Checkpoint (use flexai checkpoint list to see available Checkpoints) or the UUID of an Inference Ready Checkpoint generated during the execution of a Training or Fine-tuning job (use flexai training checkpoints to see available Checkpoints). |
--dataset | -D | string | Dataset to mount on the runtime environment. Can be specified as a simple name or as a key-value mapping to use a custom mount path. |
--device-arch | -d | string | The architecture of the device to run the Inference Endpoint on. Default: nvidia |
--env | -E | key-value | Environment variables to set in the interactive environment. |
--help | -h | boolean | Displays this help page. |
--no-queuing | | boolean | Disables queuing for this workload: If no resources are available, the workload will fail immediately instead of waiting for resources to become available. |
--nodes | -n | integer | The number of nodes across which to distribute the workload. Selecting more than 1 node will overwrite the value provided in the --accels flag to 8 accelerator per node. Default: 1 |
--repository-revision | -b | string | The branch name of the repository (default: main), a commit SHA hash, or a tag name. |
--repository-url | -u | string | Git repository URL containing code to mount on the workload environment. Will be mounted on the /workspace directory. |
--requirements-path | -q | string | Path to a pip requirements.txt file in the repository. |
--runtime | -r | string | Name of the runtime to use |
--secret | -S | key-value | Environment variables that will be set in the Training Runtime. Secrets are sensitive values like API keys, tokens, or credentials that need to be accessed by your Training Job but should not be exposed in logs or command history. When using the —secret flag, the actual secret values are retrieved from the Secrets Storage and injected into the environment at runtime. Syntax: <env_var_name>=<flexai_secret_name> where <env_var_name> is the name of the environment variable to set, and <flexai_secret_name> is the name of the Secret containing the sensitive value. |
--verbose | -v | boolean | Enables verbose logging for detailed output during training job execution. |
