GGML

GGML

Efficient tensor library for machine learning on everyday devices.

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ggml is a tensor library aimed at enhancing machine learning applications on common hardware. Designed for developers and researchers, it allows for running advanced models without the need for high-end setups.

This library excels in performance, enabling large-scale AI tasks on routine devices. With support for integer quantization and no third-party dependencies, ggml streamlines the integration process, making it approachable for everyday use.

It fosters a collaborative environment, encouraging contributions from the community. As a result, users can explore innovative machine learning possibilities without confronting complex technical barriers.


  • Run AI models on low-cost devices
  • Enable machine learning on edge hardware
  • Facilitate on-device model inference
  • Support large-scale AI research projects
  • Integrate AI solutions without dependencies
  • Optimize performance for machine learning tasks
  • Experiment with AI model quantization
  • Develop innovative AI applications
  • Create demos for machine learning concepts
  • Contribute to open-source AI projects
  • High performance on standard hardware
  • Supports large machine learning models
  • No third-party dependencies needed
  • Encourages community contributions
  • Simplifies machine learning deployment

🤖 Community-driven AI 🧑‍🏫 AI project facilitation 📊 Machine learning integration

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