Retrieve base model

{
  "id": "<string>",
  "name": "<string>",
  "trainable_modules": [
    "<string>"
  ]
}

GET

api

organizations

{organization_id}

base-models

{base_model_id}

{
  "id": "<string>",
  "name": "<string>",
  "trainable_modules": [
    "<string>"
  ]
}

Authorization

string

header

required

Bearer HTTP authentication. Allowed headers -- Authorization: Bearer <access_token>

organization_id

string

required

base_model_id

string

required

Successful response.

BaseModels are the models that are used as the foundation for fine-tuning.

string

required

Unique identifier for the object.

name

string

required

The name of the base model.

trainable_modules

string[] | null

required

The LoRA module names to be trained during fine-tuning. Each entry represents a specific module where LoRA adaptation will be applied.