fix config saving when check on misplaced args broken

optimum/exporters/openvino/convert.py

@@ -70,6 +70,7 @@
     _get_open_clip_submodels_fn_and_export_configs,
     clear_class_registry,
     remove_none_from_dummy_inputs,
+    save_config,
 )
 
 
@@ -658,7 +659,11 @@ def export_from_model(
         files_subpaths = ["openvino_" + model_name + ".xml" for model_name in models_and_export_configs.keys()]
     elif library_name != "diffusers":
         if is_transformers_version(">=", "4.44.99"):
-            misplaced_generation_parameters = model.config._get_non_default_generation_parameters()
+            # some model configs may have issues with loading without parameters initialization
+            try:
+                misplaced_generation_parameters = model.config._get_non_default_generation_parameters()
+            except Exception:
+                misplaced_generation_parameters = {}
             if isinstance(model, GenerationMixin) and len(misplaced_generation_parameters) > 0:
                 logger.warning(
                     "Moving the following attributes in the config to the generation config: "

optimum/exporters/openvino/utils.py

@@ -15,6 +15,7 @@
 import inspect
 from collections import namedtuple
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+from pathlib import Path
 
 from transformers.utils import is_torch_available
 
@@ -209,3 +210,13 @@ def get_submodels(model):
 
 
 MULTI_MODAL_TEXT_GENERATION_MODELS = ["llava", "llava-next", "internvl-chat"]
+
+
+def save_config(config, save_dir):
+    try:
+        config.save_pretrained(save_dir)
+    except Exception:
+        save_dir = Path(save_dir)
+        save_dir.mkdir(exist_ok=True)
+        output_config_file = Path(save_dir / "config.json")
+        config.to_json_file(output_config_file, use_diff=True)

optimum/intel/openvino/modeling_base.py

@@ -136,7 +136,11 @@ def __init__(
             self.generation_config = generation_config or GenerationConfig.from_model_config(config)
 
             if is_transformers_version(">=", "4.44.99"):
-                misplaced_generation_parameters = self.config._get_non_default_generation_parameters()
+                # some model configs may have issues with loading without parameters initialization
+                try:
+                    misplaced_generation_parameters = self.config._get_non_default_generation_parameters()
+                except Exception:
+                    misplaced_generation_parameters = {}
                 if len(misplaced_generation_parameters) > 0:
                     logger.warning(
                         "Moving the following attributes in the config to the generation config: "

optimum/intel/openvino/modeling_base_seq2seq.py

@@ -84,7 +84,11 @@ def __init__(
         self.generation_config = generation_config or GenerationConfig.from_model_config(config)
 
         if is_transformers_version(">=", "4.44.99"):
-            misplaced_generation_parameters = self.config._get_non_default_generation_parameters()
+            # some model configs may have issues with loading without parameters initialization
+            try:
+                misplaced_generation_parameters = self.config._get_non_default_generation_parameters()
+            except Exception:
+                misplaced_generation_parameters = {}
             if len(misplaced_generation_parameters) > 0:
                 logger.warning(
                     "Moving the following attributes in the config to the generation config: "

optimum/intel/openvino/modeling_visual_language.py

@@ -14,6 +14,7 @@
 from transformers.modeling_outputs import BaseModelOutputWithPooling
 
 from ...exporters.openvino import main_export
+from ...exporters.openvino.utils import save_config
 from ...exporters.openvino.stateful import ensure_stateful_is_available
 from .configuration import OVConfig, OVWeightQuantizationConfig
 from .modeling_base import OVBaseModel, OVModelPart
@@ -272,6 +273,13 @@ def compile(self):
             if part_model is not None:
                 part_model._compile()
 
+    def _save_config(self, save_directory):
+        """
+        Saves a model configuration into a directory, so that it can be re-loaded using the
+        [`from_pretrained`] class method.
+        """
+        save_config(self.config, save_directory)
+
     def _save_pretrained(self, save_directory: Union[str, Path]):
         """
         Saves the model to the OpenVINO IR format so that it can be re-loaded using the