Parameter validation failed: Unknown parameter in PrimaryContainer

Describe the bug

I'm trying to deploy meta-textgeneration-llama-codellama-7b jumpstart model endpoints using python. In sage-maker notebook code works fine. But deployed same code in app.py file giving an error of ParamValidationError. Tried --> installed upgraded boto3 and botocore lib.

System

Python : 3.9.15 SageMaker Version: 2.214.2 boto3 : Version: 1.34.76 botocore : Version: 1.34.76 streamlit :Version: 1.32.2

To reproduce app.py file code :

import streamlit as st

def main():
st.title('LLAMA Speak')

  #Generate code LLAMA 2 model endpoints
  sideb = st.sidebar
  check1 = sideb.button("generate endpoint")
  check2 = sideb.button("kill")
  if check1:
      endpoint_name = "code-llama-7b-11"
      from sagemaker.jumpstart.model import JumpStartModel
      model1 = JumpStartModel(model_id="meta-textgeneration-llama-codellama-7b")
      predictor = model1.deploy(
          endpoint_name=endpoint_name,
          accept_eula = True
          # instance_type="ml.g5.12xlarge", # uncomment to use another instance
          )
      st.info("Code LLAMA2 endpoints has been generated successfully !")
  if check2:
      predictor.delete_model()
      predictor.delete_endpoint()
      st.info("Code LLAMA2 endpoints stopped successfully ! ")
if name == 'main':
main()

Logs

ParamValidationError: Parameter validation failed: Unknown parameter in PrimaryContainer: "ModelDataSource", must be one of: ContainerHostname, Image, ImageConfig, Mode, ModelDataUrl, Environment, ModelPackageName, InferenceSpecificationName, MultiModelConfig Traceback: File "/opt/conda/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 542, in _run_script exec(code, module.dict) File "/home/sagemaker-user/natural_to_SQL/app.py", line 36, in main() File "/home/sagemaker-user/natural_to_SQL/app.py", line 21, in main predictor = model1.deploy( File "/opt/conda/lib/python3.9/site-packages/sagemaker/jumpstart/model.py", line 638, in deploy predictor = super(JumpStartModel, self).deploy(**deploy_kwargs.to_kwargs_dict()) File "/opt/conda/lib/python3.9/site-packages/sagemaker/model.py", line 1610, in deploy self._create_sagemaker_model( File "/opt/conda/lib/python3.9/site-packages/sagemaker/jumpstart/model.py", line 467, in _create_sagemaker_model super(JumpStartModel, self)._create_sagemaker_model( File "/opt/conda/lib/python3.9/site-packages/sagemaker/model.py", line 914, in _create_sagemaker_model self.sagemaker_session.create_model(**create_model_args) File "/opt/conda/lib/python3.9/site-packages/sagemaker/session.py", line 3887, in create_model self._intercept_create_request(create_model_request, submit, self.create_model.name) File "/opt/conda/lib/python3.9/site-packages/sagemaker/session.py", line 6427, in _intercept_create_request return create(request) File "/opt/conda/lib/python3.9/site-packages/sagemaker/session.py", line 3875, in submit self.sagemaker_client.create_model(**request) File "/opt/conda/lib/python3.9/site-packages/botocore/client.py", line 565, in _api_call return self._make_api_call(operation_name, kwargs) File "/opt/conda/lib/python3.9/site-packages/botocore/client.py", line 974, in _make_api_call request_dict = self._convert_to_request_dict( File "/opt/conda/lib/python3.9/site-packages/botocore/client.py", line 1048, in _convert_to_request_dict request_dict = self._serializer.serialize_to_request( File "/opt/conda/lib/python3.9/site-packages/botocore/validate.py", line 381, in serialize_to_request raise ParamValidationError(report=report.generate_report())