GGML
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About
GGML is a tensor library designed for machine learning, enabling large models and high performance on commodity hardware. It powers projects like llama.cpp and whisper.cpp. Its core philosophy emphasizes minimalism, an open-core approach with the library freely available under the MIT license, and fostering exploration and fun in development. Key features include low-level cross-platform implementation, integer quantization support, broad hardware compatibility, no third-party dependencies, and zero memory allocations during runtime. The ggml.ai company was founded to support the development of this library.
Platform
Features
• no third-party dependencies
• zero memory allocations during runtime
• broad hardware support
• integer quantization support
• low-level cross-platform implementation
Pricing Plans
Open-Source
Free Plan• Low-level cross-platform implementation
• Integer quantization support
• Broad hardware support
• No third-party dependencies
• Zero memory allocations during runtime
• Freely available under the MIT license
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