PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Run Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama-2-7B/13B/70B with 8-bit, 4-bit. Supporting GPU inference (6 GB VRAM) and CPU inference.

NCCL Tests

PaddleSlim is an open-source library for deep model compression and architecture search.

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

Paddle Distributed Training Examples. 飞桨分布式训练示例 Resnet Bert GPT MOE DataParallel ModelParallel PipelineParallel HybridParallel AutoParallel Zero Sharding Recompute GradientMerge Offload AMP DGC Loc…

CUDA Library Samples

Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）

Object detection and instance segmentation toolkit based on PaddlePaddle.

Documentations for PaddlePaddle

C++ Syntax, Data Structures, and Algorithms Cheat Sheet