AliasesSuccessSchema

aliases object[]required

List of model aliases belonging to the user.

Array [

updated_atstringrequired

ISO 8601 UTC timestamp indicating when the alias was last updated.

alias_idinteger

Unique identifier of the model alias.

Default: null

alias_namestring

Human-readable alias name used to reference the linked model in deployment and inference calls.

Default: null

base_model object

Name of the base model that the linked model is derived from.

available_for_finetuningbooleanrequired

Whether this model can be used for fine-tuning jobs.

available_for_inferencebooleanrequired

Whether this model can be deployed for inference.

default_batch_sizeintegerrequired

Total batch size used during fine-tuning.

default_gradient_accumulation_stepsintegerrequired

Number of gradient accumulation steps for fine-tuning.

default_lrnumberrequired

Learning rate for fine-tuning.

default_micro_batch_sizeintegerrequired

Per-device micro-batch size for fine-tuning.

deployment_records[]required

List of active deployment records associated with this model.

display_namestringrequired

Human-readable name for the model shown in the UI.

hf_repostringrequired

Hugging Face repository identifier for this model.

model_idintegerrequired

Unique numeric identifier for the base model.

model_namestringrequired

Canonical model identifier used in API requests.

model_typestringrequired

Category of model. Common values: "language_model", "image_model".

supported_context_lenintegerrequired

Maximum context length (in tokens) supported by this model.

supported_locationsstring[]required

List of region identifiers where this model is available for deployment.

training_time_per_lognumberrequired

Estimated training time (in seconds) per log step, used for duration projections.

training_time_y_interceptnumberrequired

Y-intercept of the training time regression curve, used for fine-tuning duration estimates.

allowed_hf_lora_adapter_sizeinteger

Maximum allowed size (in bytes) for a Hugging Face LoRA adapter when fine-tuning this model.

input_token_cost_per_mnumber

Cost in USD per million input tokens for inference.

is_third_partyboolean

Whether this model was imported by the user (third-party) rather than provided natively by Hyperstack.

output_token_cost_per_mnumber

Cost in USD per million output tokens for inference.

training_cost_per_lognumber

Estimated training cost per log step, used for fine-tuning cost projections.

input_modalitiesstring[]

Input modalities the model accepts, such as text and image. A model that lists image supports image-to-text input.

output_modalitiesstring[]

Output modalities the model produces, such as text.

created_atstring

ISO 8601 UTC timestamp indicating when the alias was created.

Default: null

modelobject

Details of the model currently linked to this alias.

Default: null

base_model_namestring

Display name of the base model that the linked model is derived from.

Default: null

]

statusstring

Indicates the result of the operation. Typically "success".

Default: success

messagestring

Human-readable description of the result.

Default: null

AliasesSuccessSchema

{
  "aliases": [
    {
      "updated_at": "string",
      "alias_id": null,
      "alias_name": null,
      "base_model": {
        "available_for_finetuning": true,
        "available_for_inference": true,
        "default_batch_size": "total",
        "default_gradient_accumulation_steps": "number",
        "default_lr": "learning",
        "default_micro_batch_size": "per-device",
        "deployment_records": [
          null
        ],
        "display_name": "string",
        "hf_repo": "string",
        "model_id": 0,
        "model_name": "string",
        "model_type": "string",
        "supported_context_len": 0,
        "supported_locations": [
          "string"
        ],
        "training_time_per_log": 0,
        "training_time_y_intercept": 0,
        "allowed_hf_lora_adapter_size": 0,
        "input_token_cost_per_m": 0,
        "is_third_party": true,
        "output_token_cost_per_m": 0,
        "training_cost_per_log": 0
      },
      "created_at": null,
      "model": {},
      "base_model_name": null
    }
  ],
  "status": "success",
  "message": null
}