Class DistillationSamplingSpec

java.lang.Object
com.google.genai.JsonSerializable
com.google.genai.types.DistillationSamplingSpec

public abstract class DistillationSamplingSpec extends JsonSerializable
Spec for creating a distilled dataset in Vertex Dataset. This data type is not supported in Gemini API.
  • Constructor Details

    • DistillationSamplingSpec

      public DistillationSamplingSpec()
  • Method Details

    • baseTeacherModel

      public abstract Optional<String> baseTeacherModel()
      Optional. The base teacher model that is being distilled. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models).
    • tunedTeacherModelSource

      public abstract Optional<String> tunedTeacherModelSource()
      Optional. The resource name of the Tuned teacher model. Format: `projects/{project}/locations/{location}/models/{model}`.
    • validationDatasetUri

      public abstract Optional<String> validationDatasetUri()
      Optional. Cloud Storage path to file containing validation dataset for distillation. The dataset must be formatted as a JSONL file.
    • builder

      public static DistillationSamplingSpec.Builder builder()
      Instantiates a builder for DistillationSamplingSpec.
    • toBuilder

      public abstract DistillationSamplingSpec.Builder toBuilder()
      Creates a builder with the same values as this instance.
    • fromJson

      public static DistillationSamplingSpec fromJson(String jsonString)
      Deserializes a JSON string to a DistillationSamplingSpec object.