Quantization plays a crucial role in deploying Large Language Models (LLMs) in resource-constrained environments. However, the presence of outlier features significantly hinders low-bit quantization.
Abstract: Computing-in-memory (CIM) accelerators have the characteristics of storage and computing integration, which is becoming an important solution for optimizing the computational performance of ...
Abstract: With an increasing demand for efficient computational systems, the analysis is needed to address the challenge of developing a multi-operand adder capable of processing multi operands. The ...
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