This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".

An experimental open-source attempt to make GPT-4 fully autonomous.

This repository contains integer operators on GPUs for PyTorch.

A framework for few-shot evaluation of autoregressive language models.

Code for the habitat challenge

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Easy and Efficient Object Detector

Model Quantization Benchmark

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

🐋 Awesome TTRSS, a powerful Dockerised all-in-one RSS solution.

The template contribute.md for OSS projects

Tensors and Dynamic neural networks in Python with strong GPU acceleration

a ristretto quantize code on caffe

🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️ (imho the best tmux configuration that just works)

alibabacloud-quantization-networks