diff --git a/components/google-cloud/RELEASE.md b/components/google-cloud/RELEASE.md
index 5536f883dc5..acdc613185b 100644
--- a/components/google-cloud/RELEASE.md
+++ b/components/google-cloud/RELEASE.md
@@ -1,6 +1,7 @@
 ## Upcoming release
 * Fix to model batch explanation component for Structured Data pipelines; image bump.
 * Add dynamic support for boot_disk_type, boot_disk_size in `preview.custom_job.utils.create_custom_training_job_from_component`.
+* Remove preflight validations temporarily.
 
 ## Release 2.16.0
 * Updated the Starry Net pipeline's template gallery description, and added dataprep_nan_threshold and dataprep_zero_threshold args to the Starry Net pipeline.
diff --git a/components/google-cloud/google_cloud_pipeline_components/v1/model_evaluation/evaluation_llm_text_generation_pipeline.py b/components/google-cloud/google_cloud_pipeline_components/v1/model_evaluation/evaluation_llm_text_generation_pipeline.py
index d00fb809852..9b613ee8eb3 100644
--- a/components/google-cloud/google_cloud_pipeline_components/v1/model_evaluation/evaluation_llm_text_generation_pipeline.py
+++ b/components/google-cloud/google_cloud_pipeline_components/v1/model_evaluation/evaluation_llm_text_generation_pipeline.py
@@ -15,12 +15,10 @@
 
 from typing import Dict, List, NamedTuple
 
-from google_cloud_pipeline_components import google_template_metadata
 from google_cloud_pipeline_components._implementation.model_evaluation import LLMEvaluationPreprocessorOp
 from google_cloud_pipeline_components._implementation.model_evaluation import LLMEvaluationTextGenerationOp
 from google_cloud_pipeline_components._implementation.model_evaluation import ModelNamePreprocessorOp
 from google_cloud_pipeline_components.preview.model_evaluation.model_evaluation_import_component import model_evaluation_import as ModelImportEvaluationOp
-from google_cloud_pipeline_components.proto import template_metadata_pb2
 from google_cloud_pipeline_components.types.artifact_types import VertexModel
 from google_cloud_pipeline_components.v1.batch_predict_job import ModelBatchPredictOp
 from kfp import dsl
@@ -31,21 +29,6 @@
 
 _PIPELINE_NAME = 'evaluation-llm-text-generation-pipeline'
 
-output_gcs_validation = template_metadata_pb2.GoogleCloudStorageValidation(
-    gcs_uri='{{$.parameter.batch_predict_gcs_destination_output_uri}}',
-    is_input=False,
-    default_service_account='{{$.pipeline_google_cloud_project_number}}-compute@developer.gserviceaccount.com',
-    override_placeholder='{{$.parameter.service_account}}',
-)
-
-
-@google_template_metadata.set_template_metadata(
-    template_metadata=template_metadata_pb2.TemplateMetadata(
-        preflight_validations=template_metadata_pb2.ValidationItems(
-            gcs_validations=[output_gcs_validation]
-        )
-    )
-)
 @dsl.pipeline(name=_PIPELINE_NAME)
 def evaluation_llm_text_generation_pipeline(  # pylint: disable=dangerous-default-value
     project: str,