Update README.md

README.md

@@ -14,14 +14,12 @@ tags:
 
 This Model is trained on my [WikiHow](https://huggingface.co/datasets/ajibawa-2023/WikiHow) dataset.
 
-This model is very very good with generating tutorials in the style of WikiHow. By leveraging this repository of practical knowledge, the model has been trained to comprehend and generate text that is highly informative and instructional in nature.
+This model is **very very good** with generating tutorials in the style of **WikiHow**. By leveraging this repository of practical knowledge, the model has been trained to comprehend and generate text that is highly informative and instructional in nature.
 The depth and accuracy of generated tutorials is exceptional. 
 The WikiHow dataset encompasses a wide array of topics, ranging from everyday tasks to specialized skills, making it an invaluable resource for refining the capabilities of language models. 
 Through this fine-tuning process, the model has been equipped with the ability to offer insightful guidance and assistance across diverse domains.
 
-I have used ChatML prompt format.
-
-This is fully finetuned models. Quantized models will be available very soon.
+This is fully finetuned model. Quantized models will be available very soon.
 
 **GPTQ, GGUF, AWQ & Exllama**
 
@@ -35,11 +33,13 @@ Exllama v2: TBA
 
 
 **Training:**
+
 Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took more than 15 Hours. Axolotl codebase was used for training purpose.
 Entire data is trained on Mistral-7B-Instruct-v0.2.
 
 
 **Example Prompt:**
+
 This model uses **ChatML** prompt format.
 
 ```