Fix lint error

docs/single_gpu.md

@@ -4,7 +4,7 @@ To run fine-tuning on a single GPU, we will  make use of two packages
 
 1- [PEFT](https://huggingface.co/blog/peft) methods and in specific using HuggingFace [PEFT](https://github.com/huggingface/peft)library.
 
-2- [BitandBytes](https://github.com/TimDettmers/bitsandbytes) int8 quantization.
+2- [bitsandbytes](https://github.com/TimDettmers/bitsandbytes) int8 quantization.
 
 Given combination of PEFT and Int8 quantization, we would be able to fine_tune a Llama 2 7B model on one consumer grade GPU such as A10.
 
@@ -21,7 +21,7 @@ pip install -r requirements.txt
 
 ## How to run it?
 
-Get access to a machine with one GPU or if using a multi-GPU macine please make sure to only make one of them visible using `export CUDA_VISIBLE_DEVICES=GPU:id` and run the following. It runs by default with `samsum_dataset` for summarization application.
+Get access to a machine with one GPU or if using a multi-GPU machine please make sure to only make one of them visible using `export CUDA_VISIBLE_DEVICES=GPU:id` and run the following. It runs by default with `samsum_dataset` for summarization application.
 
 
 ```bash

scripts/spellcheck_conf/wordlist.txt

@@ -1121,3 +1121,4 @@ summarization
 xA
 Sanitization
 tokenization
+bitsandbytes