Update README.md

README.md

@@ -20,6 +20,20 @@ datasets:
 - With base model, apply DPO to the small amount of layers with the dataset written above, saved just an adapter part.
 - Merge the base model and the tuned adapter together.
 
+**Usage**
+``` python
+from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
+model = AutoModelForCausalLM.from_pretrained(
+        "dddsaty/Open_Ko_SOLAR_DPO_Merge_v0.1",
+        low_cpu_mem_usage = True,
+        torch_dtype = torch.float16,
+        device_map = device_map,
+    )
+
+tokenizer = AutoTokenizer.from_pretrained("dddsaty/Open_Ko_SOLAR_DPO_Merge_v0.1")
+
+```
+
 **Log**
 - 2024.01.25: Initial version Upload
 
@@ -37,18 +51,4 @@ datasets:
       publisher    = { Hugging Face }
   }
   
-  ```
-
-**Model**
-``` python
-from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
-model = AutoModelForCausalLM.from_pretrained(
-        "dddsaty/Open_Ko_SOLAR_DPO_Merge_v0.1",
-        low_cpu_mem_usage = True,
-        torch_dtype = torch.float16,
-        device_map = device_map,
-    )
-
-tokenizer = AutoTokenizer.from_pretrained("dddsaty/Open_Ko_SOLAR_DPO_Merge_v0.1")
-
-```
+  ```