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  # Llama-2-7b-guanaco
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  πŸ“ [Article](https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32) |
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- πŸ’» [Colab](https://colab.research.google.com/drive/1PEQyJO1-f6j0S_XJ8DV50NkpzasXkrzd?usp=sharing)
 
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  <center><img src="https://i.imgur.com/C2x7n2a.png" width="300"></center>
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- This is a Llama 2-7b model QLoRA fine-tuned (4-bit precision) on the [`mlabonne/guanaco-llama2`](https://huggingface.co/datasets/mlabonne/guanaco-llama2) dataset.
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  ## πŸ”§ Training
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  # Llama-2-7b-guanaco
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  πŸ“ [Article](https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32) |
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+ πŸ’» [Colab](https://colab.research.google.com/drive/1PEQyJO1-f6j0S_XJ8DV50NkpzasXkrzd?usp=sharing) |
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+ πŸ“„ [Script](https://gist.github.com/mlabonne/b5718e1b229ce6553564e3f56df72c5c)
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  <center><img src="https://i.imgur.com/C2x7n2a.png" width="300"></center>
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+ This is a `llama-2-7b-chat-hf` model fine-tuned using QLoRA (4-bit precision) on the [`mlabonne/guanaco-llama2`](https://huggingface.co/datasets/mlabonne/guanaco-llama2) dataset.
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  ## πŸ”§ Training
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