code: def test_model_package_arn_jumpstart_model(setup):
      model_id = "meta-textgeneration-llama-2-7b"
  
      model = JumpStartModel(
          model_id=model_id,
          model_version="2.*",  # version <3.0.0 uses model packages
          role=get_sm_session().get_caller_identity_arn(),
          sagemaker_session=get_sm_session(),
      )
  
      # uses ml.g5.2xlarge instance
      predictor = model.deploy(
          tags=[
              {
                  "Key": JUMPSTART_TAG,
                  "Value": os.environ[
                      ENV_VAR_JUMPSTART_SDK_TEST_SUITE_ID
                  ],
              }
          ],
      )
  
      payload = {
          "inputs": "some-payload",
          "parameters": {
              "max_new_tokens": 256,
              "top_p": 0.9,
              "temperature": 0.6,
          },
      }
  
      response = predictor.predict(
          payload, custom_attributes="accept_eula=true"
      )
  
      assert response is not None
  
file_path: sagemaker-python-sdk/tests/integ/sagemaker/jumpstart/model/test_jumpstart_model.py
imports: from __future__ import absolute_import
  import os
  import time
  from unittest import mock
  import pytest
  import tests.integ
  from sagemaker.jumpstart.model import JumpStartModel
  from tests.integ.sagemaker.jumpstart.constants import ENV_VAR_JUMPSTART_SDK_TEST_SUITE_ID, JUMPSTART_TAG, InferenceTabularDataname
  from tests.integ.sagemaker.jumpstart.utils import download_inference_assets, get_sm_session, get_tabular_data
label_desc: Use image node_id 3 for calling a global function with example usage: test_model_package_arn_jumpstart_model(setup) without return types