ResCom: activation residual compensation for large language model quantization
Read the original at arxiv.org→arXiv:2610.35955v1 Announce Type: new Abstract: Low-bit weight--activation quantization reduces the memory and computation needed to deploy large language models, but activation rounding can still degrade accuracy...
Original headline: "ResCom: Activation Residual Compensation for Large Language Model Quantization"
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- Oct 28, 04:00 UTC arXiv cs.LG lead source ResCom: Activation Residual Compensation for Large Language Model Quantization