diff --git a/examples/text-generation/utils.py b/examples/text-generation/utils.py
index d93b559c3d..6d2381e6e6 100644
--- a/examples/text-generation/utils.py
+++ b/examples/text-generation/utils.py
@@ -38,7 +38,6 @@
 )
 from optimum.habana.utils import (
     check_habana_frameworks_version,
-    check_neural_compressor_min_version,
     check_optimum_habana_min_version,
     get_habana_frameworks_version,
     set_seed,
@@ -278,8 +277,9 @@ def setup_model(args, model_dtype, model_kwargs, logger):
             original_model=org_model,
             **model_kwargs,
         )
-        if not check_neural_compressor_min_version("3.2"):
-            model = model.to(model_kwargs["torch_dtype"])
+        # TODO: This will be removed in v1.19 Synapse release
+        # the loaded model should have the same dtype as original_model
+        model = model.to(model_kwargs["torch_dtype"])
     else:
         if args.assistant_model is not None:
             assistant_model = AutoModelForCausalLM.from_pretrained(
diff --git a/optimum/habana/utils.py b/optimum/habana/utils.py
index 3e1f755663..a3aa728e81 100755
--- a/optimum/habana/utils.py
+++ b/optimum/habana/utils.py
@@ -385,15 +385,6 @@ def check_habana_frameworks_version(req_version):
     )
 
 
-def check_neural_compressor_min_version(req_version):
-    """
-    Checks if the installed version of `neural_compressor` is larger than or equal to `req_version`.
-    """
-    import neural_compressor
-
-    return version.Version(neural_compressor.__version__) >= version.Version(req_version)
-
-
 def get_device_name():
     """
     Returns the name of the current device: Gaudi or Gaudi2.