Update configuration_phi.py

configuration_phi.py

@@ -16,14 +16,15 @@
 """ Phi model configuration"""
 
 
-from ...configuration_utils import PretrainedConfig
-from ...utils import logging
+from transformers.configuration_utils import PretrainedConfig
+from transformers.utils import logging
 
 
 logger = logging.get_logger(__name__)
 
-
-# from ..deprecated._archive_maps import PHI_PRETRAINED_CONFIG_ARCHIVE_MAP  # noqa: F401, E402
+PHI_PRETRAINED_CONFIG_ARCHIVE_MAP = {
+    "microsoft/phi-1_5": "https://huggingface.co/microsoft/phi-1_5/resolve/main/config.json",
+}
 
 
 class PhiConfig(PretrainedConfig):
@@ -179,7 +180,8 @@ class PhiConfig(PretrainedConfig):
 
         if not isinstance(self.rope_scaling, dict) or len(self.rope_scaling) != 2:
             raise ValueError(
-                "`rope_scaling` must be a dictionary with two fields, `type` and `factor`, " f"got {self.rope_scaling}"
+                "`rope_scaling` must be a dictionary with with two fields, `type` and `factor`, "
+                f"got {self.rope_scaling}"
             )
         rope_scaling_type = self.rope_scaling.get("type", None)
         rope_scaling_factor = self.rope_scaling.get("factor", None)
@@ -188,4 +190,4 @@ class PhiConfig(PretrainedConfig):
                 f"`rope_scaling`'s type field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"
             )
         if rope_scaling_factor is None or not isinstance(rope_scaling_factor, float) or rope_scaling_factor <= 1.0:
-            raise ValueError(f"`rope_scaling`'s factor field must be a float > 1, got {rope_scaling_factor}")
+            raise ValueError(f"`rope_scaling`'s factor field must be a float > 1, got {rope_scaling_factor}")