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TMAC is an open-source Microsoft project that enables low-bit (quantized) LLM inference on CPU and NPU devices using a lookup-table approach. The repository provides code, tools, and documentation to build, configure, and deploy efficient 2-bit and other low-bit models, with support for hardware like CPUs, NPUs, and Jetson Nano. It is released under the MIT license on GitHub.
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