Update README.md

README.md

@@ -17,7 +17,7 @@ This model is QLORA adapater for Meta's LLaMa 3.1 8B model, trained to answer qu
 
 ## Dataset
 
-Fine-tuned on a single epoch of [Apple MLX QA](https://huggingface.co/datasets/rojas-diego/Apple-MLX-QA).
+Fine-tuned on a single epoch of [Apple MLX QA](https://huggingface.co/datasets/koyeb/Apple-MLX-QA).
 
 ## Installation
 
@@ -45,7 +45,7 @@ tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
 # Load the fine-tuned model using LORA
 model = PeftModel.from_pretrained(
     model,
-    "rojas-diego/Meta-Llama-3.1-8B-Instruct-Apple-MLX",
+    "koyeb/Meta-Llama-3.1-8B-Instruct-Apple-MLX",
 ).to("cuda")
 
 # Define input using a chat template with a system prompt and user query