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license: mit
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Llama 2 7B base model fine-tuned on 1000 random samples from the Alpaca GPT-4 instruction dataset using QLORA and 4-bit quantization.
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This is a demo of how an LLM can be fine-tuned in such low-resource environment as Google Colab.
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license: mit
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# Descrption
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Llama 2 7B base model fine-tuned on 1000 random samples from the Alpaca GPT-4 instruction dataset using QLORA and 4-bit quantization.
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This is a demo of how an LLM can be fine-tuned in such low-resource environment as Google Colab.
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You can find the Colab notebook used to fine-tune the model [here](https://colab.research.google.com/drive/1RJRHZfgSoPpYn1K-fa2TuvAxc-l8-Ukk?usp=sharing)
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