diff --git a/integration-tests/models/test_compressed_tensors_w8a8_int.py b/integration-tests/models/test_compressed_tensors_w8a8_int.py
index 84fee287..ca7829c0 100644
--- a/integration-tests/models/test_compressed_tensors_w8a8_int.py
+++ b/integration-tests/models/test_compressed_tensors_w8a8_int.py
@@ -37,7 +37,9 @@ async def test_compressed_tensors_w8a8_int(
     assert response == response_snapshot
 
 
+@pytest.mark.release
 @pytest.mark.asyncio
+@pytest.mark.private
 async def test_compressed_tensors_w8a8_int_all_params(
     compressed_tensors_w8a8_int, response_snapshot
 ):
diff --git a/integration-tests/models/test_compressed_tensors_w8a8_int_dynamic_weight.py b/integration-tests/models/test_compressed_tensors_w8a8_int_dynamic_weight.py
index 50779218..7cc82a4e 100644
--- a/integration-tests/models/test_compressed_tensors_w8a8_int_dynamic_weight.py
+++ b/integration-tests/models/test_compressed_tensors_w8a8_int_dynamic_weight.py
@@ -39,7 +39,9 @@ async def test_compressed_tensors_w8a8_int_dynamic_weight(
     assert response == response_snapshot
 
 
+@pytest.mark.release
 @pytest.mark.asyncio
+@pytest.mark.private
 async def test_compressed_tensors_w8a8_int_dynamic_weight_all_params(
     compressed_tensors_w8a8_int_dynamic_weight, response_snapshot
 ):
diff --git a/server/text_generation_server/layers/compressed_tensors/w8a8_int.py b/server/text_generation_server/layers/compressed_tensors/w8a8_int.py
index 4bfc8c53..fc6d81e4 100644
--- a/server/text_generation_server/layers/compressed_tensors/w8a8_int.py
+++ b/server/text_generation_server/layers/compressed_tensors/w8a8_int.py
@@ -51,10 +51,10 @@ class W8A8IntLoader(WeightsLoader):
         def scale_to_str(scale):
             return "static" if scale else "dynamic"
 
-        def symmetric_to_string(symmetric):
+        def symmetric_to_str(symmetric):
             return "symmetric" if symmetric else "asymmetric"
 
-        return f"{self.__class__.__name__} (w8a8 int, input: dynamic/{symmetric_to_string(self.input_symmetric)}, weight: {scale_to_str(self.load_weight_scale)}/symmetric))"
+        return f"{self.__class__.__name__} (w8a8 int, input: dynamic/{symmetric_to_str(self.input_symmetric)}, weight: {scale_to_str(self.load_weight_scale)}/symmetric))"
 
     def get_weights(self, weights: "Weights", prefix: str):
         w = weights.get_tensor(f"{prefix}.weight", to_dtype=False)