oci_generative_ai_model

This resource provides the Model resource in Oracle Cloud Infrastructure Generative Ai service.

Creates a custom model by fine-tuning a base model with your own dataset. You can create a new custom models or create a new version of existing custom model..

The header contains an opc-work-request-id, which is the id for the WorkRequest that tracks the model creation progress.

Example Usage

resource "oci_generative_ai_model" "test_model" {
    #Required
    base_model_id = oci_generative_ai_model.test_model.id
    compartment_id = var.compartment_id
    fine_tune_details {
        #Required
        dedicated_ai_cluster_id = oci_generative_ai_dedicated_ai_cluster.test_dedicated_ai_cluster.id
        training_dataset {
            #Required
            bucket = var.model_fine_tune_details_training_dataset_bucket
            dataset_type = var.model_fine_tune_details_training_dataset_dataset_type
            namespace = var.model_fine_tune_details_training_dataset_namespace
            object = var.model_fine_tune_details_training_dataset_object
        }

        #Optional
        training_config {
            #Required
            training_config_type = var.model_fine_tune_details_training_config_training_config_type

            #Optional
            early_stopping_patience = var.model_fine_tune_details_training_config_early_stopping_patience
            early_stopping_threshold = var.model_fine_tune_details_training_config_early_stopping_threshold
            learning_rate = var.model_fine_tune_details_training_config_learning_rate
            log_model_metrics_interval_in_steps = var.model_fine_tune_details_training_config_log_model_metrics_interval_in_steps
            num_of_last_layers = var.model_fine_tune_details_training_config_num_of_last_layers
            total_training_epochs = var.model_fine_tune_details_training_config_total_training_epochs
            training_batch_size = var.model_fine_tune_details_training_config_training_batch_size
        }
    }

    #Optional
    defined_tags = {"Operations.CostCenter"= "42"}
    description = var.model_description
    display_name = var.model_display_name
    freeform_tags = {"Department"= "Finance"}
    vendor = var.model_vendor
    version = var.model_version
}

Argument Reference

The following arguments are supported:

* IMPORTANT * Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

Attributes Reference

The following attributes are exported:

Timeouts

The timeouts block allows you to specify timeouts for certain operations: * create - (Defaults to 20 minutes), when creating the Model * update - (Defaults to 20 minutes), when updating the Model * delete - (Defaults to 20 minutes), when destroying the Model

Import

Models can be imported using the id, e.g.

$ terraform import oci_generative_ai_model.test_model "id"