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  • Cambridge, MA

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  1. mit-han-lab/omniserve mit-han-lab/omniserve Public

    [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

    C++ 852 66

  2. 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

    Python 3.6k 316

  3. mit-han-lab/torchsparse mit-han-lab/torchsparse Public

    [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

    Cuda 1.5k 191

  4. ys-2020.github.io ys-2020.github.io Public

    CSS