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## Acknowledgment
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- Thanks to [@AMerve Noyan](https://huggingface.co/blog/merve/quantization) for precise intro.
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- Thanks to [@HuggungFace Team](https://huggingface.co/blog/gptq-integration#fine-tune-quantized-models-with-peft) for the [notebook](https://colab.research.google.com/drive/1_TIrmuKOFhuRRiTWN94iLKUFu6ZX4ceb?usp=sharing) on GPTQ.
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- Thanks to [@HuggungFace Team](https://huggingface.co/blog/4bit-transformers-bitsandbytes) for the Blog.
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- Thanks to [@Salesforce](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) for the marvelous dataset.
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## Acknowledgment
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- Thanks to [@AMerve Noyan](https://huggingface.co/blog/merve/quantization) for precise intro.
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- Thanks to [@HuggungFace Team](https://huggingface.co/blog/4bit-transformers-bitsandbytes) for the Blog.
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- Thanks to [@Salesforce](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) for the marvelous dataset.
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