Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan ...

Abstract: Quantization is a technique to reduce the size and computation time of machine learning models by reducing the precision of model parameters. However, quantization may reduce the accuracy of ...

Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing ...

School of Electrical and Computer Engineering, Cornell Tech, New York, NY, United States Spiking neural networks (SNNs) have received increasing attention due to their high biological plausibility and ...

Neural Magic has recently announced a significant breakthrough in AI model compression, introducing a fully quantized FP8 version of Meta’s Llama 3.1 405B model. This achievement marks a milestone in ...

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby ...

Optimum-amd provides a tool that enables you to apply quantization on many models hosted on the Hugging Face Hub using our RyzenAIOnnxQuantizer. ## Static quantization The quantization process is ...

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...