GitHub

elementalcollision/MoE_Llama_Updates

This project enhances the llama.cpp quantization process for Mixture of Experts (MoE) models, with a special focus on the Llama-4 Scout model. It adds specialized handling for MoE architectures, ...
blockchain

Enhancing AI Model Efficiency with Quantization Aware Training and Distillation

Explore how Quantization Aware Training (QAT) and Quantization Aware Distillation (QAD) optimize AI models for low-precision environments, enhancing accuracy and inference performance. As artificial ...
Semiconductor Engineering

Neural Network Model Quantization On Mobile

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 ...
IEEE

Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning

Abstract: The increasing adoption of machine learning at the edge (ML-at-the-edge) and federated learning (FL) presents a dual challenge: ensuring data privacy as well as addressing resource ...
IEEE

Quantization Effects of Deep Neural Networks on a FPGA platform

Abstract: abstract- In this paper, a quantization method for a FPGA platform is applied on three different deep neural networks (DNNs) for classification, detection and semantic segmentation tasks.