update README
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@ -46,7 +46,7 @@ variety of hardware - locally and in the cloud.
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- Plain C/C++ implementation without any dependencies
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- Plain C/C++ implementation without any dependencies
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- Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
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- Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
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- AVX, AVX2 and AVX512 support for x86 architectures
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- AVX, AVX2, AVX512 and AMX support for x86 architectures
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- 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
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- 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
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- Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP)
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- Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP)
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- Vulkan and SYCL backend support
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- Vulkan and SYCL backend support
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