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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # GGML - AI at the edge
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+ ggml is a tensor library for machine learning to enable large models and high performance on commodity hardware. It is used by [llama.cpp](https://github.com/ggerganov/llama.cpp) and [whisper.cpp](https://github.com/ggerganov/whisper.cpp)
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+ Written in C
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+ - 16-bit float support
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+ - Integer quantization support (e.g. 4-bit, 5-bit, 8-bit)
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+ - Automatic differentiation
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+ - Built-in optimization algorithms (e.g. ADAM, L-BFGS)
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+ - Optimized for Apple Silicon
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+ - On x86 architectures utilizes AVX / AVX2 intrinsics
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+ - Web support via WebAssembly and WASM SIMD
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+ - No third-party dependencies
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+ - Zero memory allocations during runtime
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+ - Guided language output support