class_docstr: Test agents for distilling Transformer generator models.
docstr: Return opt specifically for this model type.
docstr_tok: ["Return","opt","specifically","for","this","model","type","."]
code: def _get_model_opt(self) -> Dict[str, str]:
      """
      Return opt specifically for this model type.
      """
      model_file = self._get_model_file()
      return {
          "dict_file": f"{model_file}.dict",
          "init_opt": f"{model_file}.opt",
          "teacher_model": model_file,
      }
  
imports: import random
  from abc import ABC, abstractmethod
  from math import floor, log10
  from typing import Dict
  import numpy
  import pytest
  import torch
  from pytest_regressions.data_regression import DataRegressionFixture
  import parlai.utils.testing
  from parlai.core.opt import Opt
  from parlai.core.teachers import register_teacher, DialogTeacher
  from parlai.utils.data import DatatypeHelper
  from parlai.zoo.bart.build import download
  from parlai.zoo.blender.blender_90M import download
label_desc: Use image node_id 4 for calling the AbstractTestDistillation obj's underlying member method code with example usage: obj._get_model_opt() and returns: dict