Update README.md

README.md

@@ -60,8 +60,11 @@ Specifically, we used:
 To load the model with HuggingFace, use the following snippet:
 ```
 from transformers import AutoModelForCausalLM
+from peft import PeftModel
+
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
+model = PeftModel.from_pretrained(model, "pm-25/llama3-8b-sft")
 
-sft_model = AutoModelForCausalLM.from_pretrained("pm-25/llama3-8b-sft")
 ```
 
 ### via Playpen 
@@ -78,7 +81,7 @@ Before evaluation, the model must be registered in the model_registry.json file
 {
 "model_name": "llama3-8b-sft",
 "backend": "huggingface_local",
-"huggingface_id": "pm-25/llama3-8b-sft",
+"huggingface_id": "meta-llama/Meta-Llama-3.1-8B-Instruct",
 "release_date": "2025-08-22",
 "open_weight": true,
 "parameters": "8B",
@@ -89,10 +92,11 @@ Before evaluation, the model must be registered in the model_registry.json file
 "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
 },
 "model_config": {
-"requires_api_key": true,
-"premade_chat_template": true,
-"eos_to_cull": "<\|eot_id\|>"
-}
+  "peft_model": "pm-25/llama3-8b-sft",
+  "requires_api_key": true,
+  "premade_chat_template": true,
+  "eos_to_cull": "<\|eot_id\|>"
+  }
 }
 ```