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mit-han-lab/qserve
mit-han-lab/qserve PublicQServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
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mit-han-lab/llm-awq
mit-han-lab/llm-awq Public[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
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mit-han-lab/torchsparse
mit-han-lab/torchsparse Public[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
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