CodeGen

This is an unofficial implementation not affiliated with Salesforce.

Sample from the codegen-6B-mono checkpoint trained on python.

Arxiv: A Conversational Paradigm for Program Synthesis

Authors: Erik Nijkamp*, Bo Pang*, Hiroaki Hayashi*, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong (* indicates equal contribution)

Released models

The models are named in the following format:

codegen-{model-size}-{data}

model-size has 4 options: 350M, 2B, 6B, 16B, which represent the number of parameters in each model.

data has 3 options: nl, multi, mono.

• nl models are randomly initialized and trained on The Pile, a 825.18 GB English text corpous.
• multi models are initialized from nl models and then trained on a corpus with code data consisting of multiple programming languages.
• mono models are initialized from multi models and then trained on a corpus with Python code data.

Download the model parameters

codegen-350M-nl,multi,mono

https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-350M-nl.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-350M-multi.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-350M-mono.tar.gz

codegen-2B-nl,multi,mono

https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-2B-nl.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-2B-multi.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-2B-mono.tar.gz

codegen-6B-nl,multi,mono

https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-6B-nl.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-6B-multi.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-6B-mono.tar.gz

codegen-16B-nl,multi,mono

https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-16B-nl.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-16B-multi.tar.gz https://storage.googleapis.com/sfr-codegen-research/checkpoints/codegen-16B-mono.tar.gz

Citation

If you find our code or paper useful, please cite the paper:

@article{Nijkamp2022ACP,
  title={A Conversational Paradigm for Program Synthesis},
  author={Nijkamp, Erik and Pang, Bo and Hayashi, Hiroaki and Tu, Lifu and Wang, Huan and Zhou, Yingbo and Savarese, Silvio and Xiong, Caiming},
  journal={arXiv preprint},
  year={2022}
}

License

Our code is BSD-3 licensed. See LICENSE.txt for details.