Distillation Spec
Distillation tuning spec for tuning.
Constructors
Properties
The base teacher model that is being distilled. See Supported models.
Optional. Hyperparameters for Distillation.
Deprecated. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.
Optional. Cloud Storage path to file containing prompt dataset for distillation. The dataset must be formatted as a JSONL file.
The student model that is being tuned, e.g., "google/gemma-2b-1.1-it". Deprecated. Use base_model instead.
Deprecated. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
The resource name of the Tuned teacher model. Format: projects/{project}/locations/{location}/models/{model}.
Optional. Specifies the tuning mode for distillation (sft part). This feature is only available for open source models.
Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.