Jul 7, 2022 · This paper presents a novel quantification method called Attention Round. This method gives parameters w the opportunity to be mapped to all ...
This study introduces a novel quantization function called Attention Round, which considers quantization as a lossy coding process by incorporating a random ...
Jan 14, 2024 · This study introduces a novel quantization function called Attention Round, which considers quantization as a lossy coding process by ...
Feb 27, 2024 · Highlights · Attention Round quantization function expands the quantization optimization space. · Mixed precision allocation method improves ...
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What are the post-training quantization techniques?
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What is PTQ quantization?
This work studies the effect of quantization on the structure of the loss landscape, and designs a method that quantizes the layer parameters jointly.
The primary difference is that we pursue the preservation of the attention output after the quantization while GPTQ aims to preserve each layer output and thus ...
This paper presents a novel quantification method called Attention Round. This method gives parameters w the opportunity to be mapped to all possible quantized ...
Attention Round for post-training quantization. https://doi.org/10.1016/j.neucom.2023.127012 ·. Journal: Neurocomputing, 2024, p. 127012. Publisher: Elsevier ...
In this paper, we thus propose a novel PTQ algorithm that considers inter-layer dependencies without relying on backpropagation. The fundamental concept ...
Sep 23, 2024 · We propose a novel post-training quantization algorithm that considers inter-layer dependencies inside the attention module without relying on backpropagation.
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