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// Copyright 2023 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.ai.generativelanguage.v1beta;
import "google/api/field_behavior.proto";
import "google/api/resource.proto";
option go_package = "cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb;generativelanguagepb";
option java_multiple_files = true;
option java_outer_classname = "ModelProto";
option java_package = "com.google.ai.generativelanguage.v1beta";
// Information about a Generative Language Model.
message Model {
option (google.api.resource) = {
type: "generativelanguage.googleapis.com/Model"
pattern: "models/{model}"
};
// Required. The resource name of the `Model`.
//
// Format: `models/{model}` with a `{model}` naming convention of:
//
// * "{base_model_id}-{version}"
//
// Examples:
//
// * `models/chat-bison-001`
string name = 1 [(google.api.field_behavior) = REQUIRED];
// Required. The name of the base model, pass this to the generation request.
//
// Examples:
//
// * `chat-bison`
string base_model_id = 2 [(google.api.field_behavior) = REQUIRED];
// Required. The version number of the model.
//
// This represents the major version
string version = 3 [(google.api.field_behavior) = REQUIRED];
// The human-readable name of the model. E.g. "Chat Bison".
//
// The name can be up to 128 characters long and can consist of any UTF-8
// characters.
string display_name = 4;
// A short description of the model.
string description = 5;
// Maximum number of input tokens allowed for this model.
int32 input_token_limit = 6;
// Maximum number of output tokens available for this model.
int32 output_token_limit = 7;
// The model's supported generation methods.
//
// The method names are defined as Pascal case
// strings, such as `generateMessage` which correspond to API methods.
repeated string supported_generation_methods = 8;
// Controls the randomness of the output.
//
// Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will
// produce responses that are more varied, while a value closer to `0.0` will
// typically result in less surprising responses from the model.
// This value specifies default to be used by the backend while making the
// call to the model.
optional float temperature = 9;
// For Nucleus sampling.
//
// Nucleus sampling considers the smallest set of tokens whose probability
// sum is at least `top_p`.
// This value specifies default to be used by the backend while making the
// call to the model.
optional float top_p = 10;
// For Top-k sampling.
//
// Top-k sampling considers the set of `top_k` most probable tokens.
// This value specifies default to be used by the backend while making the
// call to the model.
// If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't
// allowed as a generation parameter.
optional int32 top_k = 11;
}
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