IEEE

DL-AQUA: Deep-Learning-Based Automatic Quantization for MMSE MIMO Detection

Abstract: Directly affecting both error performance and complexity, quantization is critical for MMSE MIMO detection. However, naively pruning quantization levels is ...
marktechpost

Neural Magic Releases Fully Quantized FP8 Version of Meta’s Llama 3.1 405B Model: FP8 Dynamic Quantization and FP8 Static Quantization

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 ...
marktechpost

QoQ and QServe: A New Frontier in Model Quantization Transforming Large Language Model Deployment

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 ...
unite

Accelerating Large Language Model Inference: Techniques for Efficient Deployment

Large language models (LLMs) like GPT-4, LLaMA, and PaLM are pushing the boundaries of what’s possible with natural language processing. However, deploying these massive models to production ...
GitHub

AutoGPTQ quantization stucks without any progress

I'm trying to do the GPTQ quantization of Mistral 7B model on Nvidia 4090 GPU on Vast.ai platform. However, my quantization process constantly stucks after the model weights and data for quantization ...
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

Quantization via Distillation and Contrastive Learning

Abstract: Quantization is a critical technique employed across various research fields for compressing deep neural networks (DNNs) to facilitate deployment within resource-limited environments. This ...