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README.md

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 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lxe/simple-llama-finetuner/blob/master/Simple_LLaMA_FineTuner.ipynb)
 
-Simple LLaMA FineTuner is a beginner-friendly interface designed to facilitate fine-tuning the LLaMA-7B language model using [LoRA](https://arxiv.org/abs/2106.09685) method via the [PEFT library](https://github.com/huggingface/peft) on commodity NVIDIA GPUs. With small dataset and sample lengths of 256, you can even run this on a regular Colab Tesla T4 instance.
+Simple LLaMA Finetuner is a beginner-friendly interface designed to facilitate fine-tuning the [LLaMA-7B](https://github.com/facebookresearch/llama) language model using [LoRA](https://arxiv.org/abs/2106.09685) method via the [PEFT library](https://github.com/huggingface/peft) on commodity NVIDIA GPUs. With small dataset and sample lengths of 256, you can even run this on a regular Colab Tesla T4 instance.
 
 With this intuitive UI, you can easily manage your dataset, customize parameters, train, and evaluate the model's inference capabilities.