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--- |
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license: apache-2.0 |
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datasets: |
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- lambada |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- text-generation-inference |
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- causal-lm |
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- int8 |
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- ONNX |
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- PostTrainingStatic |
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- Intel® Neural Compressor |
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- neural-compressor |
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--- |
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# INT8 GPT-J 6B |
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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. |
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This int8 ONNX model is generated by [neural-compressor](https://github.com/intel/neural-compressor) and the fp32 model can be exported with below command: |
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```shell |
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python -m transformers.onnx --model=EleutherAI/gpt-j-6B onnx_gptj/ --framework pt --opset 13 --feature=causal-lm-with-past |
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``` |
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## Test result |
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| |INT8|FP32| |
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|---|:---:|:---:| |
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| **Lambada Acc** |0.7944|0.7954| |
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| **Model size (GB)** |6|23| |
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## How to use |
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Download the model and script by cloning the repository: |
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```shell |
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git clone https://huggingface.co/Intel/gpt-j-6B-int8-static |
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``` |
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Then you can do inference based on the model and script 'evaluation.ipynb'. |
