Update configuration_phi3.py

configuration_phi3.py

@@ -23,8 +23,8 @@ from transformers.utils import logging
 logger = logging.get_logger(__name__)
 
 PHI3_PRETRAINED_CONFIG_ARCHIVE_MAP = {
-    "microsoft/Phi-3-mini-4k-instruct": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/config.json",
-    "microsoft/Phi-3-mini-128k-instruct": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/config.json",
+    "swkimx97/Phi-3-mini-4k-instruct": "https://huggingface.co/swkimx97/Phi-3-mini-4k-instruct/resolve/main/config.json",
+    "swkimx97/Phi-3-mini-128k-instruct": "https://huggingface.co/swkimx97/Phi-3-mini-128k-instruct/resolve/main/config.json",
 }
 
 
@@ -33,7 +33,7 @@ class Phi3Config(PretrainedConfig):
     This is the configuration class to store the configuration of a [`Phi3Model`]. It is used to instantiate a Phi-3
     model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
     defaults will yield a similar configuration to that of the
-    [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct).
+    [swkimx97/Phi-3-mini-4k-instruct](https://huggingface.co/swkimx97/Phi-3-mini-4k-instruct).
 
     Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
     documentation from [`PretrainedConfig`] for more information.
@@ -102,7 +102,7 @@ class Phi3Config(PretrainedConfig):
     >>> from transformers import Phi3Model, Phi3Config
 
     >>> # Initializing a Phi-3 style configuration
-    >>> configuration = Phi3Config.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
+    >>> configuration = Phi3Config.from_pretrained("swkimx97/Phi-3-mini-4k-instruct")
 
     >>> # Initializing a model from the configuration
     >>> model = Phi3Model(configuration)