Update README.md

README.md

@@ -14,9 +14,9 @@ author: Joseph717171 & froggeric (https://huggingface.co/datasets/froggeric/imat
 ```
 llama.cpp % ./quantize --imatrix path_to_imatrix path_to_model/ggml-model-f16.gguf model_name-QuantType.gguf QuantType
 ```
-# Note: If you need detailed steps to convert your Large Language Model to GGUF, please scroll to the bottom of this page and check out the section: How to convert (Supported) LLMs (Large Language Model) to GGUF format
+# Note: If you need detailed steps to convert your Large Language Model to GGUF, please scroll to the bottom of this page and check out the section: How to convert Supported LLMs (Large Language Models) to GGUF format
 
-# Supplementary Learning: Training Datasets, their similarities and differences, and how to determine which one will be right for computing your imatrix.
+# Supplementary Learning: Training Datasets, Their Similarities and Differences, and How to Determine Which one will Be Right for Computing your Imatrix
 
 # Input files for generating the Importance Matrix
 
@@ -115,7 +115,7 @@ Small Wikipedia dump. Unclean, contains many unwanted tags.
 exllamav2 calibration data taken from:\
 https://github.com/turboderp/exllamav2/tree/master/conversion/standard_cal_data
 
-# How to convert (Supported) LLMs (Large Language Model) to GGUF format:
+# How to Convert Supported LLMs (Large Language Models) to GGUF Format:
 ```
 llama.cpp % python convert.py path_to_model --outtype f16
 ```