Package com.google.genai.types

Class DistillationSamplingSpec

java.lang.Object

com.google.genai.JsonSerializable

com.google.genai.types.DistillationSamplingSpec

public abstract class DistillationSamplingSpec
extends JsonSerializable

Distillation sampling spec for tuning.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	DistillationSamplingSpec.Builder	Builder for DistillationSamplingSpec.

Field Summary

Fields inherited from class com.google.genai.JsonSerializable

MAX_READ_LENGTH_PROPERTY

Constructor Summary

Constructors

Constructor	Description
DistillationSamplingSpec()

Method Summary

Modifier and Type	Method	Description
abstract Optional<String>	baseTeacherModel()	The base teacher model that is being distilled.
static DistillationSamplingSpec.Builder	builder()	Instantiates a builder for DistillationSamplingSpec.
static DistillationSamplingSpec	fromJson(String jsonString)	Deserializes a JSON string to a DistillationSamplingSpec object.
abstract Optional<DistillationHyperParameters>	hyperparameters()	Hyperparameters for distillation tuning.
abstract Optional<String>	promptDatasetUri()	Cloud Storage path to file containing prompt dataset for distillation.
abstract DistillationSamplingSpec.Builder	toBuilder()	Creates a builder with the same values as this instance.
abstract Optional<String>	tunedTeacherModelSource()	The resource name of the Tuned teacher model.
abstract Optional<String>	validationDatasetUri()	Cloud Storage path to file containing validation dataset for distillation.

Methods inherited from class com.google.genai.JsonSerializable

fromJsonNode, fromJsonString, objectMapper, setMaxReadLength, stringToJsonNode, toJson, toJsonNode, toJsonString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

DistillationSamplingSpec

public DistillationSamplingSpec()

Method Details

baseTeacherModel

public abstract Optional<String> baseTeacherModel()

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()

The resource name of the Tuned teacher model. Format: `projects/{project}/locations/{location}/models/{model}`.

validationDatasetUri

public abstract Optional<String> validationDatasetUri()

Cloud Storage path to file containing validation dataset for distillation. The dataset must be formatted as a JSONL file.

promptDatasetUri

public abstract Optional<String> promptDatasetUri()

Cloud Storage path to file containing prompt dataset for distillation. The dataset must be formatted as a JSONL file.

hyperparameters

public abstract Optional<DistillationHyperParameters> hyperparameters()

Hyperparameters for distillation tuning.

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.