Update README.md

README.md

@@ -98,8 +98,26 @@ print(my_list)  # Output: ['a', 'b', 'c']
 Note that in Python, lists are mutable, meaning you can add, remove, or modify elements after creating the list.
 ```
 
+## Size Comparison
 
+The table shows comparison VRAM requirements for loading and training
+of FP16 Base Model and 4bit GPTQ quantized model with PEFT.
+The value for base model referenced from [Model Memory Calculator](https://huggingface.co/docs/accelerate/main/en/usage_guides/model_size_estimator)
+from HuggingFace
 
 
 
-COMING SOON
+
+| Model                   | Total Size  |
+| ------------------------|-------------| 
+| Base Model              | 28 GB       | 
+| 4bitQuantized+PEFT      | 5.21 GB     |
+
+
+## Acknowledgment
+
+Thanks to [@AMerve Noyan](https://huggingface.co/blog/merve/quantization) for precise intro.
+Thanks to [@HuggungFace Team](https://huggingface.co/blog/4bit-transformers-bitsandbytes) for the Blog.
+Thanks to [@Meta](https://huggingface.co/meta-llama) for the Opensourced Model.
+
+