SpQR--A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression 9iM 2 人赞同了该文章 本工作研究了大模型权重的异常值pattern,将异常值隔离,对异常值和正常值采用不同的量化精度进行量化,并对量化参数也进行量化,以实现两层量化策略。
1.1 Spase-Dense Representation item的sparse semantic id和dense vector双表征 1.1.1 Sparse Representation 方案同TIGER,基于Residual Quantized Variational Autoencoder (RQ-VAE),从item的textual description生成item的two-level sparse semantic ids。这些id是item的粗粒度表征。 1.1.2 Dense Representation 采用Transform...
Sticking to these rules, we shall compare next structured quantization and quantized sparse representation for equal encoding sizes. Approximate Search with Quantized Sparse Representations 691 1 M=16 0.8 0.6 0.4 M=8 M=4 1 0.8 0.6 0.4 0.2 0 1 1 0.8 0.6 RVQ α-RVQ Qα-RVQ 5 10 20 50...
In the QTT approach the target vector of length $2^{L}$ is reshaped to a $L^{th}$ order tensor with two entries in each mode (Quantized representation) and then approximated by the QTT tenor including $2r^2 L$ parameters, where $r$ is the maximal TT rank. In what follows, we...
First, we found the sparse quantized neural code of the SQHN was advantageous in auto-associative recall over similar models that use a dense, continuous latent code. PC models, for example, like the SQHN, implement directed graphical models and learn via MAP learning46. However, because PC ...
zation error are presented, applicable to any quantized representation. These bounds are compared with the performance of compressive sensing followed by scalar quanti- zation and non-linear reconstruction. It is thus demonstrated that the performance of ...
Each measurement obtained in FRCS is quantized using a finite number of bits. For further compression, we explore the extreme quantization where only one bit is used to store sign corresponding to each measurement, known as 1-bit CS (Boufounos and Baraniuk, 2008). In both FRCS and FRCS1,...
[11] has shown that the image classification performance using the classical bag-of-words model can be improved by enforcing the local smooth sparsity constraint in the vector quantization process, in which the SIFT features extracted from similar patches are enforced to be quantized into similar ...
Similarly, scrambling technique also can be used in photo privacy protection by arbitrarily modify- ing the signs of the quantized discrete cosine transform (DCT) coefficients. This method ensures that the privacy information in sensitive regions can be pro- tected, but it is hard to reach a ...
4.1.1 Sparse Representation(语义 ID) 使用RQ-VAE(Residual Quantized VAE) 将物品的文本属性或多模态信息进行离散量化。 得到层次化或多级 Codebook,以稀疏 ID 的形式表示物品的语义信息。 稀疏ID 的好处: 可以将相似物品收敛到相同或相似的离散码字 存储量小,且可在一定程度上捕捉高层语义。 4.1.2 Dense Repre...