At Nexa AI, we are committed to advancing the field of artificial intelligence and making state-of-the-art technology accessible to all. We are pleased to announce the launch of our new GitHub repository: Awesome LLMs on Device: A Must-Read Comprehensive Hub.

The landscape of Large Language Models (LLMs) is evolving rapidly. While cloud-based LLMs have been predominant, they present challenges such as latency issues, privacy concerns, and reliance on internet connectivity. We envision a future where powerful AI does not solely reside in the cloud but is also readily available on personal devices.

Our motivations for creating this hub are as follows:

• Democratize Access to On-Device AI: We aim to lower the barriers to entry for developers, researchers, and enthusiasts by providing a centralized resource for all matters related to on-device LLMs.
• Foster Innovation: By aggregating the latest research, tools, and frameworks, we seek to accelerate the development of efficient, powerful, and accessible on-device AI solutions.
• Build a Community: We believe that collaboration drives progress. This hub serves as a platform for like-minded individuals to share insights, contribute to ongoing projects, and collectively advance the field.

Our repository is designed to be more than a mere collection of links—it is a comprehensive resource intended to empower you with knowledge and tools.

Comprehensive Overviews

• Evolution of On-Device LLMs: Gain an understanding of the journey and milestones that have shaped on-device AI.
• Performance Indicators: Learn about the critical metrics when evaluating on-device models.

In-Depth Analyses

• Architectural Insights: Explore groundbreaking architectures that make on-device deployment feasible.
• Optimization Techniques: Delve into methods such as quantization, pruning, and knowledge distillation that optimize models for limited hardware.

Curated Lists of Models and Frameworks

• State-of-the-Art Models: Access a carefully selected compilation of the most efficient and powerful on-device LLMs.
• Frameworks and Tools: Discover libraries like
  llama.cpp
  ,
  MNN
  , and
  PowerInfer
  that facilitate deployment.

Practical Resources

• Tutorials and Learning Materials: Enhance your skills with courses from MIT, Harvard, and industry experts.
• Case Studies and Applications: Find inspiration from real-world applications ranging from healthcare to autonomous vehicles.

Regular Updates

• Stay Current: The field of AI evolves swiftly, and we are committed to keeping the repository updated with the latest research and developments.

Community Engagement

• Collaborate and Contribute: Join a dynamic community of innovators. Share your projects, participate in discussions, and help shape the future of on-device AI.

We are on the threshold of a new era where powerful AI can operate seamlessly on personal devices, opening up a multitude of possibilities for privacy, accessibility, and innovation. We invite you to be a part of this exciting journey.

How to Get Involved

1. Explore the Repository: Visit the Awesome LLMs on Device repository to begin exploring.
2. Contribute: If you have something to add, fork the repository, create a new branch, and submit a pull request with your contributions.
3. Connect with Us: Join our community on Discord to collaborate, ask questions, and share insights.

At Nexa AI, we are dedicated to making AI more accessible, efficient, and beneficial for everyone. We believe that on-device LLMs are a significant step toward achieving that future.

Let us advance on-device AI together.

Stay updated by following us on Twitter and LinkedIn. For any inquiries, please contact us at octopus@nexa.ai.