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README.md

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 # LlaMa2-CodeGen
-This model is **LlaMa-2 7b** fine-tuned on the **CodeSearchNet dataset instructions dataset** by using the method **QLoRA** with [PEFT](https://github.com/huggingface/peft) library.
+This model is **LlaMa-2 7b** [Llama-2](https://huggingface.co/meta-llama/Llama-2-7b) fine-tuned on the **CodeSearchNet dataset** by using the method **QLoRA** with [PEFT](https://github.com/huggingface/peft) library.
 
 # Model Trained on Google Colab Pro Using AutoTrain, PEFT and QLoRA
 
 
 
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-## Llama-2 description 
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-[Llama-2](https://huggingface.co/meta-llama/Llama-2-7b)
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-Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.
-Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM.
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 ### Example 
 ```py