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An awesome tool/library benchmark LLM performance on all kinds of hardware!

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Impetus

An awesome tool/library benchmark LLM performance on all kinds of hardware!
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

Impetus Screen Shot

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Getting Started

Installation

Installation with pip is simple as follows:

pip install impetus

Usage

Impetus Help

For more examples, please refer to the Documentation

Developing locally

This project use poetry for dependency management, and is required for running impetus locally.

  1. Clone the repo
    git clone https://github.com/dhmnr/impetus.git
    
  2. Install Dependencies
    poetry install
    
  3. Run the command as follows
    poetry shell run impetus --help
    

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Roadmap

  • Support Quantization
  • Multiple GPU support with accelerate
  • GPU/CPU usage information
  • Flops/MFU information
  • Detailed breakdown, | self-attention | FFN | lm_head
  • Support BERT and VLMs and others
  • Support different backends

Minor Fixes

  • Support different datasets

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Top contributors:

contrib.rocks image

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Project Link: https://github.com/dhmnr/impetus

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Acknowledgments

Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!

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