Update README.md

README.md

@@ -42,7 +42,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 base = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2b-it", load_in_4bit=True, device_map="auto")
 tokenizer = AutoTokenizer.from_pretrained("unsloth/gemma-2b-it")
 
-model = PeftModel.from_pretrained(base, "kihyun1998/gemma-2b-mongodb-lora")
+model = PeftModel.from_pretrained(base, "kihyun1998/gemma-2b-it-mongodb-lora")
 
 prompt = """### Instruction:
 Convert to MongoDB query string.
@@ -124,8 +124,8 @@ This LoRA adapter inherits the same conditions.
 ```bibtex
 @misc{kihyun2025mongodb,
   title={Gemma 2B MongoDB Query Generator (LoRA)},
-  author={Kihyun Lee},
+  author={Kihyun Park},
   year={2025},
-  howpublished={\\url{https://huggingface.co/kihyun1998/gemma-2b-mongodb-lora}}
+  howpublished={\\url{https://huggingface.co/kihyun1998/gemma-2b-it-mongodb-lora}}
 }
 ```