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[doc] Update README.md
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## News
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- 08/17/2024 🚀: T-MAC now supports most quantized models in GPTQ format without the need to manually set kernel shapes!
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- 08/17/2024 🚀: T-MAC now supports 1/2/4-bit quantized models of (almost) any architecture in GPTQ format.
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- 08/14/2024 🚀: The T-MAC GEMM (N>1) kernels are now integrated into llama.cpp to accelerate prefill. Check [Prefill speedup](#prefill-speedup) for speedup.
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- Download Ninja from [Release Page](https://github.com/ninja-build/ninja/releases/download/v1.12.1/ninja-winarm64.zip) and add to Path.
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- Install Clang from [Release Page](https://github.com/llvm/llvm-project/releases/download/llvmorg-17.0.6/LLVM-17.0.6-woa64.exe).
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Starting the following commands **outside of Developer Command Prompt/Powershell for VS** to ensure our native clang tools are used.
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Run the following commands **outside of Developer Command Prompt/Powershell for VS** to ensure our native clang tools are used.
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Install `t_mac` from the source:
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