Add test

Author: nikita-malininn

optimum/intel/openvino/configuration.py

@@ -1026,8 +1026,8 @@ def to_nncf_dict(self) -> Dict[str, Any]:
                     overflow_fix=self.advanced_parameters["overflow_fix"],
                 )
                 if "smooth_quant_alphas" in self.advanced_parameters:
-                    advanced_parameters.smooth_quant_alphas = (
-                        nncf.AdvancedSmoothQuantParameters(**self.advanced_parameters["smooth_quant_alphas"]),
+                    advanced_parameters.smooth_quant_alphas = nncf.AdvancedSmoothQuantParameters(
+                        **self.advanced_parameters["smooth_quant_alphas"]
                     )
 
             self._nncf_dict = {

tests/openvino/test_exporters_cli.py

@@ -131,6 +131,14 @@ class OVCLIExportTestCase(unittest.TestCase):
             (13,),
             (16,),
         ),
+        (
+            "text-generation",
+            "llama",
+            "nf4_f8e4m3",
+            "--dataset wikitext2 --num-samples 1 --smooth-quant-alpha 0.9 --group-size 16 --trust-remote-code",
+            (4,),
+            (14,),
+        ),
     ]
 
     TEST_4BIT_CONFIGURATIONS = [
@@ -446,7 +454,11 @@ def test_exporters_cli_full_quantization(
             for i, model in enumerate(models):
                 num_fake_nodes, num_weight_nodes = get_num_quantized_nodes(model)
                 self.assertEqual(expected_fake_nodes[i], num_fake_nodes)
-                self.assertEqual(expected_low_precision_nodes[i], num_weight_nodes[quant_mode])
+                weight_types = quant_mode.split("_")
+                num_weights = 0
+                for weight_type in weight_types:
+                    num_weights += num_weight_nodes[weight_type]
+                self.assertEqual(expected_low_precision_nodes[i], num_weights)
 
     def test_exporters_cli_int4_with_local_model_and_default_config(self):
         with TemporaryDirectory() as tmpdir: