[bugfix] saving model without model.name_or_path

Summary:

the way models were saved assumed that model.name_or_path was populated
but this is not always the case. This PR relaxes this assumption so that
the model can be saved.

Signed-off-by: HDCharles <charlesdavidhernandez@gmail.com>

Author: HDCharles

src/llmcompressor/pytorch/model_load/helpers.py

@@ -144,7 +144,8 @@ def load_safetensors_state_dict(file_path: str) -> Dict[str, torch.Tensor]:
 def copy_python_files_from_model_cache(model, save_path: str):
     config = model.config
     cache_path = None
-    if hasattr(config, "_name_or_path"):
+    print("GGG", config._name_or_path)
+    if hasattr(config, "_name_or_path") and len(config._name_or_path)>0:
         import os
         import shutil
 

src/llmcompressor/transformers/utils/helpers.py

@@ -14,6 +14,7 @@
     hf_hub_download,
     try_to_load_from_cache,
 )
+from huggingface_hub.errors import HFValidationError
 from loguru import logger
 from transformers import AutoConfig
 from transformers.trainer_utils import get_last_checkpoint
@@ -96,7 +97,7 @@ def infer_recipe_from_model_path(model_path: Union[str, Path]) -> Optional[str]:
     :return: The path to the recipe file if found, None otherwise.
     """
     model_path = model_path.as_posix() if isinstance(model_path, Path) else model_path
-
+    print("DD", model_path,  os.path.isdir(model_path) , os.path.isfile(model_path))
     if os.path.isdir(model_path) or os.path.isfile(model_path):
         # Model path is a local path to the model directory or file
         model_path = (
@@ -111,10 +112,14 @@ def infer_recipe_from_model_path(model_path: Union[str, Path]) -> Optional[str]:
         return None
 
     # Try to resolve HF model ID to cached location first
-    cached_recipe = try_to_load_from_cache(
-        repo_id=model_path,
-        filename=RECIPE_FILE_NAME,
-    )
+    cached_recipe = None
+    try:
+        cached_recipe = try_to_load_from_cache(
+            repo_id=model_path,
+            filename=RECIPE_FILE_NAME,
+        )
+    except HFValidationError as e:
+        logger.info(f"unable to get recipe from hf_hub, raised:\n{e}")
 
     if cached_recipe and cached_recipe is not _CACHED_NO_EXIST:
         # Recipe found in cached model