metadata
license: apache-2.0
datasets:
- lambada
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- text-generation-inference
- causal-lm
- int8
- ONNX
- PostTrainingDynamic
- Intel® Neural Compressor
- neural-compressor
Model Details: INT8 GPT-J 6B
GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters.
This int8 ONNX model is generated by neural-compressor and the fp32 model can be exported with below command:
python -m transformers.onnx --model=EleutherAI/gpt-j-6B onnx_gptj/ --framework pt --opset 13 --feature=causal-lm-with-past
| 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 |
| 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
Download the model and script by cloning the repository:
git clone https://huggingface.co/Intel/gpt-j-6B-int8-dynamic
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 |