Address spell check issues

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- [bitandbytes](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.
 
@@ -15,7 +15,7 @@ To run the examples, make sure to install the llama-recipes package (See [README
 
 ## 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 +1121,26 @@ summarization
 xA
 Sanitization
 tokenization
+hatchling
+setuptools
+BoolQ
+CausalLM
+Dyck
+GSM
+HellaSwag
+HumanEval
+MMLU
+NarrativeQA
+NaturalQuestions
+OpenbookQA
+PREPROC
+QuAC
+TruthfulQA
+WinoGender
+bAbI
+dataclass
+datafiles
+davinci
+GPU's
+HuggingFace's
+LoRA
\ No newline at end of file

src/llama_recipes/inference/hf_text_generation_inference/README.md

-# Serving a fine tuned LLaMA model with HuggingFace text-generation-inference server
+# Serving a fine tuned Llama model with HuggingFace text-generation-inference server
 
 This document shows how to serve a fine tuned LLaMA mode with HuggingFace's text-generation-inference server. This option is currently only available for models that were trained using the LoRA method or without using the `--use_peft` argument.