Update README.md

README.md

@@ -40,19 +40,23 @@ The base model is [tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3](https://hug
 
 ---
 
-## ⚙️ Usage Instructions
+## ⚙️ Usage Instructions (LoRA Adapter)
 
-This repository contains **only the LoRA adapter**. You must load the original base model and then apply this adapter:
+This repository only contains the **adapter weights**.  
+You must load the original base model and then apply this adapter.
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
 from peft import PeftModel
 
+# === Base + Adapter Paths ===
 base_model_id = "tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3"
-adapter_id = "your-username/kokorochat-high-lora"
+adapter_id = "your-username/kokorochat-lora"
 
+# === Load Tokenizer ===
 tokenizer = AutoTokenizer.from_pretrained(base_model_id)
 
+# === Load Base Model ===
 base_model = AutoModelForCausalLM.from_pretrained(
     base_model_id,
     device_map="auto",
@@ -60,6 +64,7 @@ base_model = AutoModelForCausalLM.from_pretrained(
     quantization_config=BitsAndBytesConfig(load_in_4bit=True)
 )
 
+# === Load & Merge LoRA ===
 model = PeftModel.from_pretrained(base_model, adapter_id)
 model = model.merge_and_unload()
 ```