Update README.md

README.md

@@ -67,6 +67,22 @@ code = tokenizer.decode(outputs[0], skip_special_tokens=True)
 print(code)
 ```
 
+### 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
+```
+
+
+
+| Model                   | Total Size  | Training Using Adam |
+| ------------------------|-------------| --------------------| 
+| Base Model              | 12.37 GB    | 49.48 GP            |
+| 4bitQuantized+PEFT      | 3.90 GB     | 11 GB               |
+
 
 ## Training Details