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README.md
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---
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license: apache-2.0
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datasets:
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- mlabonne/guanaco-llama2-1k
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pipeline_tag: text-generation
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---
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# Miniguanaco
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<img src="https://i.imgur.com/E7IzZMc.png" width="400">
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📝 [Article](https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32) |
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💻 [Colab](https://colab.research.google.com/drive/1PEQyJO1-f6j0S_XJ8DV50NkpzasXkrzd?usp=sharing)
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This is a Llama 2-7b model trained on the [`mlabonne/guanaco-llama2-1k`](https://huggingface.co/datasets/mlabonne/guanaco-llama2-1k) dataset, which is a subset of the [`timdettmers/openassistant-guanaco`](https://huggingface.co/datasets/timdettmers/openassistant-guanaco).
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It was trained on a Google Colab notebook with a T4 GPU and high RAM. It is mainly designed for educational purposes, not for inference.
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