diff --git a/tests/functional/adapter/test_python_model.py b/tests/functional/adapter/test_python_model.py
index 85807ccfd..70a74e0be 100644
--- a/tests/functional/adapter/test_python_model.py
+++ b/tests/functional/adapter/test_python_model.py
@@ -5,7 +5,12 @@
     BasePythonModelTests,
     BasePythonIncrementalTests,
 )
-from dbt.tests.adapter.python_model.test_spark import BasePySparkTests
+from dbt.tests.adapter.python_model.test_spark import (
+    BasePySparkTests,
+    PANDAS_MODEL,
+    PANDAS_ON_SPARK_MODEL,
+    PYSPARK_MODEL,
+)
 
 
 @pytest.mark.skip_profile("apache_spark", "spark_session", "databricks_sql_endpoint")
@@ -15,7 +20,13 @@ class TestPythonModelSpark(BasePythonModelTests):
 
 @pytest.mark.skip_profile("apache_spark", "spark_session", "databricks_sql_endpoint")
 class TestPySpark(BasePySparkTests):
-    pass
+    @pytest.fixture(scope="class")
+    def models(self):
+        return {
+            "pandas_df.py": PANDAS_MODEL,
+            "pyspark_df.py": PYSPARK_MODEL,
+            "pandas_on_spark_df.py": PANDAS_ON_SPARK_MODEL,
+        }
 
 
 @pytest.mark.skip_profile("apache_spark", "spark_session", "databricks_sql_endpoint")
@@ -53,7 +64,7 @@ def model(dbt, spark):
                 "ResourceClass": "SingleNode"
             }
         },
-        packages=['spacy', 'torch', 'pydantic<1.10.3', 'numpy<1.20']
+        packages=['spacy', 'torch', 'pydantic<1.10.3']
     )
     data = [[1,2]] * 10
     return spark.createDataFrame(data, schema=['test', 'test2'])