Update README.md

README.md

@@ -27,26 +27,12 @@ A hybrid (explain + instruct) style Llama2-70b model, Pleae check examples below
 * WizardLM_orca
 * Dolly-V2_orca
 
-
 <br>
 
 **P.S. If you're interested to collaborate, please connect with me at www.linkedin.com/in/pankajam.**
 
 <br>
 
-
-
-### quantized versions
-Coming Soon....
-
-<br>
-
-#### license disclaimer:
-
-This model is bound by the license & usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.
-
-<br>
-
 ## Evaluation
 
 We evaluated model_001 on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI. 
@@ -68,9 +54,9 @@ Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](htt
 
 <br>
 
-## Example Usage
+## Prompt Format
 
-Here is the Orca prompt format
+Here is the prompt format
 
 ```
 ### System:
@@ -83,6 +69,17 @@ Tell me about Orcas.
 
 ```
 
+#### OobaBooga Instructions:
+
+This model required upto 45GB GPU VRAM in 4bit so it can be loaded directly on Single RTX 6000/L40/A40/A100/H100 GPU or Double RTX 4090/L4/A10/RTX 3090/RTX A5000
+So, if you have access to Machine with 45GB GPU VRAM and have installed [OobaBooga Web UI](https://github.com/oobabooga/text-generation-webui) on it.
+You can just download this model by using HF repo link directly on OobaBooga Web UI "Model" Tab/Page & Just use **load-in-4bit** option in it.
+
+
+<br>
+
+#### Code Instructions:
+
 Below shows a code example on how to use this model
 
 ```python
@@ -147,6 +144,12 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 
 <br>
 
+#### license disclaimer:
+
+This model is bound by the license & usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.
+
+<br>
+
 #### Limitations & Biases:
 
 While this model aims for accuracy, it can occasionally produce inaccurate or misleading results.