Update README.md

README.md

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-# Model
+# Model<br>
 
 
-Here is a Quantized version of Llama-3.1-70B-Instruct using GGUF
+Here is a Quantized version of Llama-3.1-70B-Instruct using GGUF<br>
 
-GGUF is designed for use with GGML and other executors. 
-GGUF was developed by @ggerganov who is also the developer of llama.cpp, a popular C/C++ LLM inference framework. 
-Models initially developed in frameworks like PyTorch can be converted to GGUF format for use with those engines.
+GGUF is designed for use with GGML and other executors.<br> 
+GGUF was developed by @ggerganov who is also the developer of llama.cpp, a popular C/C++ LLM inference framework.<br> 
+Models initially developed in frameworks like PyTorch can be converted to GGUF format for use with those engines.<br>
 
 
-## Uploaded Quantization Types
+## Uploaded Quantization Types<br>
 
-Currently, I have uploaded 2 quantized versions:
+Currently, I have uploaded 2 quantized versions:<br>
 
-Q5_K_M : - large, very low quality loss 
-and 
-Q8_0 : - very large, extremely low quality loss 
+Q5_K_M : - large, very low quality loss<br> 
+
+and<br> 
+
+Q8_0 : - very large, extremely low quality loss<br> 
 
 ### All Quantization Types Possible