Popular GitHub Repositories for Model Quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

A curated list for Efficient Large Language Models

模型压缩的小白入门教程

Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).

A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

Chat to LLaMa 2 that also provides responses with reference documents over vector database. Locally available model using GPTQ 4bit quantization.

A tutorial of model quantization using TensorFlow

Enterprise multi-agent framework for secure, borderless data collaboration with zero-trust and federated learning-lightweight edge-ready.

Enterprise multi-agent framework for secure, borderless data collaboration with zero-trust and federated learning-lightweight edge-ready.

Quantization is a technique to reduce the computational and memory costs of running inference by representing the weights and activations with low-precision data types like 8-bit integer (int8) instead of the usual 32-bit floating point (float32).

Automated Jupyter notebook solution for batch converting Large Language Models to GGUF format with multiple quantization options. Built on llama.cpp with HuggingFace integration.