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Keye: A Multimodal Large Language Model by Kuaishou

[[🍎 Home Page](https://kwai-keye.github.io/)] [[📖 Technical Report]()] [[📊 Models](https://huggingface.co/Kwai-Keye)] [[🚀 Demo](https://huggingface.co/spaces/Kwai-Keye/Keye-VL-8B-Preview)]

🔥 News

• 2025.06.26 🌟 We are very proud to launch Kwai Keye-VL, a cutting-edge multimodal large language model meticulously crafted by the Kwai Keye Team at Kuaishou. As a cornerstone AI product within Kuaishou’s advanced technology ecosystem, Keye excels in video understanding, visual perception, and reasoning tasks, setting new benchmarks in performance. Our team is working tirelessly to push the boundaries of what’s possible, so stay tuned for more exciting updates!

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Model Details
• Contributing
• License
• Releases

Introduction

Kwai Keye-VL is designed to enhance video understanding and visual reasoning. It integrates advanced techniques in AI to analyze and interpret multimedia content effectively. This model aims to bridge the gap between text and visual data, providing a robust platform for developers and researchers.

Features

• Multimodal Understanding: Processes both text and visual inputs seamlessly.
• High Performance: Achieves state-of-the-art results in various benchmarks.
• User-Friendly API: Simplifies integration into existing applications.
• Extensive Documentation: Provides clear guidelines for usage and implementation.

Installation

To install Keye, follow these steps:

1. Clone the repository:

   git clone https://github.com/kulsoegg/Keye.git
   cd Keye
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Download the model files from the Releases section. Ensure you execute the necessary scripts as indicated in the release notes.

Usage

After installation, you can start using Keye in your projects. Here’s a basic example of how to use the model:

from keye import KeyeModel

model = KeyeModel.load('path/to/model')
result = model.process('Your input text or image here')
print(result)

Refer to the documentation for more examples and advanced usage.

Model Details

Keye-VL is built on advanced neural architectures optimized for both speed and accuracy. The model has been trained on diverse datasets, ensuring robustness across various tasks. Key features include:

• Architecture: Transformer-based model tailored for multimodal tasks.
• Training Data: Extensive datasets that include images, videos, and text.
• Performance Metrics: Achieves high accuracy on standard benchmarks.

Contributing

We welcome contributions from the community. If you want to help improve Keye, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Submit a pull request detailing your changes.

For more detailed guidelines, please refer to the CONTRIBUTING.md file in the repository.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Releases

For the latest releases, visit the Releases section. Download the necessary files and execute the scripts as needed to get started with Keye.