Update README.md

README.md

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 ### Model Overview
 
-The "PeterBrendan/llama-2-7b-Ads" model is a fine-tuned version of the "meta-llama/Llama-2-7b-chat-hf" language model. The base model, "meta-llama/Llama-2-7b-chat-hf," was trained on a vast corpus of text, enabling it to generate coherent and contextually relevant responses for various chat-based applications. The "PeterBrendan/llama-2-7b-Ads" model was fine-tuned using the "PeterBrendan/Ads_Creative_Ad_Copy_Programmatic" dataset.
+The "llama-2-7b-Ads" model is a fine-tuned version of the "meta-llama/Llama-2-7b-chat-hf" language model. The base model, "meta-llama/Llama-2-7b-chat-hf," was trained on a vast corpus of text, enabling it to generate coherent and contextually relevant responses for various chat-based applications. The "PeterBrendan/llama-2-7b-Ads" model was fine-tuned using the "PeterBrendan/Ads_Creative_Ad_Copy_Programmatic" dataset.
 
 ### Dataset Overview
 
@@ -31,7 +31,7 @@ This dataset is a random sample from Project300x250.com's complete creative data
 
 ### Use Cases
 
-The "PeterBrendan/llama-2-7b-Ads" model can be used in various natural language processing tasks related to advertising creatives. Some potential use cases include:
+The "llama-2-7b-Ads" model can be used in various natural language processing tasks related to advertising creatives. Some potential use cases include:
 
 1. **Ad Creative Generation**: The model can generate ad copy text given different prompts, enabling advertisers to create compelling ad creatives automatically.