OSLO is a framework that provides various GPU based optimization technologies for large-scale modeling. Features like 3D parallelism and kernel fusion which could be useful when training a large model are the key features. OSLO makes these technologies easy-to-use by magical compatibility with Hugging Face Transformers that is being considered as a de facto standard in NLP field. We look forward large-scale modeling technologies to be more democratized by significantly decreasing the difficulty of using these technologies using OSLO.

OSLO can be easily installed using the pip package manager. Be careful that the ‘core’ is in the PyPI project name.

pip install oslo-core

# sh gcc_install.sh
# pip install oslo-core

If you find our work useful, please consider citing:

@misc{oslo,
  author       = {},
  title        = {OSLO: Open Source for Large-scale Optimization},
  howpublished = {\url{https://github.com/EleutherAI/oslo}},
  year         = {2022},
}

The code of the OSLO is licensed under the terms of the Apache License 2.0.

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