GPT
Collection
Series of GPT fine-tuned models
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6 items
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Updated
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 |
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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. |
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'.
Model | Model Size (GB) | Lambada Acc |
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FP32 | 23 | 0.7954 |
INT8 | 6 | 0.7926 |