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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
 
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+ # ggml-org
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+ This is the official HF organization for the [ggml](https://github.com/ggerganov/ggml) library and related projects
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+ More info: https://ggml.ai