code: def _set_mixtral_target_modules(config: "ModelConfig") -> None:
      """If the base model is Mixtral 7x8, LoRA is enabled and the target modules are not set, set the target modules
      to q_proj and v_proj."""
      if config.base_model not in {
          "mistralai/Mixtral-8x7B-v0.1",
          "mistralai/Mixtral-8x7B-Instruct-v0.1",
      }:
          return
  
      if not config.adapter:
          return
  
      if config.adapter.type != "lora" or config.adapter.target_modules:
          return
  
      logger.info(
          "Setting adapter target modules to ['q_proj', 'v_proj'] for Mixtral 7x8 base model with LoRA adapter."
      )
  
      config.adapter.target_modules = ["q_proj", "v_proj"]
  
imports: import copy
  import logging
  import sys
  import warnings
  from typing import Any, Dict, List, Mapping, Set, TYPE_CHECKING
  from marshmallow import ValidationError
  from transformers import AutoConfig
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import CATEGORY, COMBINED, DECODER, DEFAULTS, ENCODER, GRID_SEARCH, INPUT_FEATURES, LOSS, MODEL_ECD, MODEL_LLM, OUTPUT_FEATURES, PARAMETERS, PREPROCESSING, SEQUENCE, SPACE, TEXT, TYPE
  from ludwig.features.feature_utils import compute_feature_hash
  from ludwig.schema.features.utils import output_config_registry
  from ludwig.schema.hyperopt.scheduler import BaseHyperbandSchedulerConfig
  from ludwig.schema.llms.generation import LLMGenerationConfig
  from ludwig.schema.trainer import ECDTrainerConfig
  from ludwig.types import HyperoptConfigDict, ModelConfigDict
  from ludwig.utils.data_utils import get_sanitized_feature_name
  from ludwig.utils.llm_utils import get_context_len
label_desc: Use image node_id 16 for calling a global function with example usage: _set_mixtral_target_modules(config) without return types