Enable awq by default.

Author: andreyanufr

nncf/quantization/algorithms/weight_compression/awq.py

@@ -140,7 +140,7 @@ def apply(
         transformation_layout = TransformationLayout()
         model_transformer = ModelTransformerFactory.create(model, inplace=True)
 
-        is_data_free = statistics is None
+        is_data_free = True #statistics is None
         description = "Applying data-free AWQ" if is_data_free else "Applying AWQ"
 
         for k, awq_data_item in track(awq_data.items(), description=description):

nncf/quantization/quantize_model.py

@@ -435,7 +435,7 @@ def compress_weights(
     sensitivity_metric: Optional[SensitivityMetric] = None,
     *,
     subset_size: int = 128,
-    awq: Optional[bool] = None,
+    awq: Optional[bool] = True,
     scale_estimation: Optional[bool] = None,
     gptq: Optional[bool] = None,
     lora_correction: Optional[bool] = None,