---
license: apache-2.0
datasets:
- lambada
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- text-generation-inference
- causal-lm
- int8
- tensorrt
- ENOT-AutoDL
---

# 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.

This repository contains TensorRT engines with mixed precission int8 + fp32. You can find prebuilt engines for the following GPUs:
* RTX 4090
* RTX 3080 Ti
* RTX 2080 Ti

ONNX model generated by [ENOT-AutoDL](https://pypi.org/project/enot-autodl/) and will be published soon.

## Test result

|   |INT8|FP32|
|---|:---:|:---:|
| **Lambada Acc** |78.50%|79.54%|
| **Model size (GB)**  |8.5|24.2|


## How to use

Example of inference and accuracy test published on github:
```shell
git clone https://github.com/ENOT-AutoDL/demo-gpt-j-6B-tensorrt-int8
```