diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index 4b3dbc1..7f7f507 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -39,6 +39,4 @@ jobs:
         CICD_ACTIVE: ${{ secrets.CICD_ACTIVE }}
         GRB_LICENSE_FILE: ${{ steps.write-license.outputs.grb_license_file }}
       run: |
-        pytest --cov
-    - name: Upload coverage to Codecov
-      uses: codecov/codecov-action@v3
+        pytest -v -m fast_test
diff --git a/tests/test_curr.py b/tests/test_curr.py
index 3485e82..07c3b51 100644
--- a/tests/test_curr.py
+++ b/tests/test_curr.py
@@ -8,7 +8,7 @@
 import pytest
 import random
 
-
+@pytest.mark.fast_test
 def test_core_model_copy():
     # define problem
     problem_config = ProblemConfig(rnd_seed=73)
@@ -29,7 +29,6 @@ def test_core_model_copy():
     assert len(core_model_pyomo._all_feat) == len(core_model_pyomo_copy._all_feat)
 
 
-@pytest.mark.fast_test
 def test_multiobj_constraints():
     # define problem
     problem_config = ProblemConfig(rnd_seed=73)
@@ -119,7 +118,6 @@ def my_func(x: float) -> float:
     assert round(res.opt_point[0]) == 0
 
 
-@pytest.mark.fast_test
 def test_compare_pyomo_gurobipy_multiobj():
     """
     Ensures for a multi objective example with l1  and l2 uncertainty metric and mixed feature types that optimization
@@ -163,7 +161,7 @@ def test_compare_pyomo_gurobipy_multiobj():
             # assert opt_gur._active_leaves == opt_pyo._active_leaves
 
 
-@pytest.mark.fast_test
+
 def test_compare_pyomo_gurobipy_singleobj():
     """
     Ensures for a single objective example with l1  and l2 uncertainty metric and mixed feature types that optimization