turnkeyml 6.1.1

TurnkeyML Tools and Models

Welcome to ONNX TurnkeyML

We are on a mission to make it easy to use the most important tools in the ONNX ecosystem. TurnkeyML accomplishes this by providing a full SDK for LLMs with the Lemonade SDK, as well as a no-code CLIs for general ONNX workflows with turnkey.

🍋 Lemonade SDK: Quickly serve, benchmark and deploy LLMs

The Lemonade SDK is designed to make it easy to serve, benchmark, and deploy large language models (LLMs) on a variety of hardware platforms, including CPU, GPU, and NPU.

The Lemonade SDK is comprised of the following:

• 🌐 Lemonade Server: A server interface that uses the standard Open AI API, allowing applications to integrate with local LLMs.
• 🐍 Lemonade Python API: Offers High-Level API for easy integration of Lemonade LLMs into Python applications and Low-Level API for custom experiments.
• 🖥️ Lemonade CLI: The lemonade CLI lets you mix-and-match LLMs, frameworks (PyTorch, ONNX, GGUF), and measurement tools to run experiments. The available tools are:
  • Prompting an LLM.
  • Measuring the accuracy of an LLM using a variety of tests.
  • Benchmarking an LLM to get the time-to-first-token and tokens per second.
  • Profiling the memory usage of an LLM.

Click here to get started with Lemonade.

🔑 Turnkey: A Complementary Tool for ONNX Workflows

While Lemonade focuses on LLMs, Turnkey is a no-code CLI designed for general ONNX workflows, such as exporting and optimizing CNNs and Transformers.

To see the list of supported tools, using the following command:

turnkey -h

Click here to get started with turnkey.

Contributing

We are actively seeking collaborators from across the industry. If you would like to contribute to this project, please check out our contribution guide.

Maintainers

This project is sponsored by the ONNX Model Zoo special interest group (SIG). It is maintained by @danielholanda @jeremyfowers @ramkrishna @vgodsoe in equal measure. You can reach us by filing an issue or emailing turnkeyml at amd dot com.

License

This project is licensed under the Apache 2.0 License.

Attribution

TurnkeyML used code from other open source projects as a starting point (see NOTICE.md). Thank you Philip Colangelo, Derek Elkins, Jeremy Fowers, Dan Gard, Victoria Godsoe, Mark Heaps, Daniel Holanda, Brian Kurtz, Mariah Larwood, Philip Lassen, Andrew Ling, Adrian Macias, Gary Malik, Sarah Massengill, Ashwin Murthy, Hatice Ozen, Tim Sears, Sean Settle, Krishna Sivakumar, Aviv Weinstein, Xueli Xao, Bill Xing, and Lev Zlotnik for your contributions to that work.