Update README.md

README.md

@@ -16,7 +16,7 @@ tags:
 - neural-compressor
 ---
 
-# INT8 GPT-J 6B
+## Model Details: INT8 GPT-J 6B
 
 GPT-J 6B is a transformer model trained using Ben Wang's [Mesh Transformer JAX](https://github.com/kingoflolz/mesh-transformer-jax/). "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters.
 
@@ -25,19 +25,35 @@ This int8 ONNX model is generated by [neural-compressor](https://github.com/inte
 python -m transformers.onnx --model=EleutherAI/gpt-j-6B onnx_gptj/ --framework pt --opset 13 --feature=causal-lm-with-past
 ```
 
-## Test result
+| Model Detail | Description |
+| ----------- | ----------- | 
+| Model Authors - Company | Intel | 
+| Date | April 10, 2022 | 
+| Version | 1 | 
+| Type | Text Generation | 
+| Paper or Other Resources | - | 
+| License | Apache 2.0 |
+| Questions or Comments | [Community Tab](https://huggingface.co/Intel/gpt-j-6B-int8-dynamic/discussions)|
 
-|   |INT8|FP32|
-|---|:---:|:---:|
-| **Lambada Acc** |0.7926|0.7954|
-| **Model size (GB)**  |6|23|
+| Intended Use | Description |
+| ----------- | ----------- | 
+| Primary intended uses | You can use the raw model for text generation inference | 
+| Primary intended users | Anyone doing text generation inference | 
+| Out-of-scope uses | This model in most cases will need to be fine-tuned for your particular task.  The model should not be used to intentionally create hostile or alienating environments for people.|
 
 
-## How to use
+### How to use
 
 Download the model and script by cloning the repository:
 ```shell
 git clone https://huggingface.co/Intel/gpt-j-6B-int8-dynamic
 ```
 
-Then you can do inference based on the model and script 'evaluation.ipynb'.
+Then you can do inference based on the model and script 'evaluation.ipynb'.
+
+## Metrics (Model Performance):
+| Model  | Model Size (GB) | Lambada Acc |
+|---|:---:|:---:|
+| FP32 |23|0.7954|
+| INT8 |6|0.7926|
+