LoopsCheckpoint

class baseten.client.managementapi.LoopsCheckpoint(*, checkpoint_id, created_at, checkpoint_type, base_model, lora_adapter_config, size_bytes, sync_status=None, id, run_id, target)

Bases: BaseModel

Parameters:

• checkpoint_id (str)

• created_at (AwareDatetime)

• checkpoint_type (str)

• base_model (str | None)

• lora_adapter_config (dict[str, Any] | None)

• size_bytes (int)

• sync_status (str | None)

• id (str)

• run_id (str)

• target (TrainerCheckpointTarget)

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].