Abstract page for arXiv paper 2606.04050: LiftQuant: Continuous Bit-Width LLM via Dimensional ... LiftQuant's decoding path relies solely on linear transformations and 1-bit uniform quantizers, retain...
which fuses sparse block computation into the dense 4-bit GEMM kernel via an overlapped pipeline, unifying not only the representation but also the execution into a single coherent low-bit inference p...
a low-bit Muon training framework built on the principle of directional fidelity optimization. First, we apply a pre-quantization normalization so that each step introduces quantization errors of the same m...
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Xiangchen MengYangdi LyuView a PDF of the paper titled FedBit: Accelerating Privacy-Preserving Federated Learning via Bit-Interleaved Packing and Cross-Layer Co-Design, by Xiangchen Meng ...
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a module applying an online Hadamard transformation prior to activation quantization. This transformation smooths sharp activation distributions into more Gaussian-like forms, suitable for low-bit repr...
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View a PDF of the paper titled MaskBit: Embedding-free Image Generation via Bit Tokens, by Mark Weber and 6 other authors Abstract:Masked transformer models for class-conditional image gene...
