Update README.md

README.md

@@ -10,9 +10,9 @@ base_model:
 library_name: transformers
 ---
 
-# Model Name: orca_mini_v9_2_14B
+# Model Name: orca_mini_phi-4
 
-**orca_mini_v9_2_14B is trained with various SFT Datasets on [microsoft/phi-4](https://huggingface.co/microsoft/phi-4) using Llama's architecture.**
+**orca_mini_phi-4 is trained with various SFT Datasets on [microsoft/phi-4](https://huggingface.co/microsoft/phi-4) using Llama's architecture.**
 
 <img src="https://huggingface.co/pankajmathur/orca_mini_v5_8b/resolve/main/orca_minis_small.jpeg" width="auto" />
 
@@ -56,7 +56,7 @@ Below shows a code example on how to use this model in default half precision (b
 import torch
 from transformers import pipeline
 
-model_slug = "pankajmathur/orca_mini_v9_2_14B"
+model_slug = "pankajmathur/orca_mini_phi-4"
 pipeline = pipeline(
     "text-generation",
     model=model_slug,
@@ -76,7 +76,7 @@ Below shows a code example on how to use this model in 4-bit format via bitsandb
 import torch
 from transformers import BitsAndBytesConfig, pipeline
 
-model_slug = "pankajmathur/orca_mini_v9_2_14B"
+model_slug = "pankajmathur/orca_mini_phi-4"
 quantization_config = BitsAndBytesConfig(
     load_in_4bit=True,
     bnb_4bit_quant_type="nf4",
@@ -104,7 +104,7 @@ Below shows a code example on how to use this model in 8-bit format via bitsandb
 import torch
 from transformers import BitsAndBytesConfig, pipeline
 
-model_slug = "pankajmathur/orca_mini_v9_2_14B"
+model_slug = "pankajmathur/orca_mini_phi-4"
 quantization_config = BitsAndBytesConfig(
     load_in_8bit=True
 )