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Update README.md #15

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Update README.md
eltociear May 25, 2023
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Merge branch 'main' into patch-1
eltociear May 27, 2023
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Expand Up @@ -8,7 +8,7 @@ This repo supports the paper "QLoRA: Efficient Finetuning of Quantized LLMs", an



QLoRA uses [bitsandbytes](https://github.com/TimDettmers/bitsandbytes) for quantization and is integrated with Huggingface's [PEFT](https://github.com/huggingface/peft) and [transformers](https://github.com/huggingface/transformers/) libraries. QLoRA was developed by members of the [University of Washington's UW NLP group](https://twitter.com/uwnlp?s=20).
QLoRA uses [bitsandbytes](https://github.com/TimDettmers/bitsandbytes) for quantization and is integrated with Hugging Face's [PEFT](https://github.com/huggingface/peft) and [transformers](https://github.com/huggingface/transformers/) libraries. QLoRA was developed by members of the [University of Washington's UW NLP group](https://twitter.com/uwnlp?s=20).

## Overview

Expand Down Expand Up @@ -123,7 +123,7 @@ Here a list of known issues and bugs. If your issue is not reported here, please
```

## Acknowledgements
We thank the Huggingface team, in particular Younes Belkada, for their support integrating QLoRA with PEFT and transformers libraries.
We thank the Hugging Face team, in particular Younes Belkada, for their support integrating QLoRA with PEFT and transformers libraries.
We also thank Meta for releasing the LLaMA models without which this work would not have been possible.

This repo builds on the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) and [LMSYS FastChat](https://github.com/lm-sys/FastChat) repos.