Making large AI models cheaper, faster and more accessible

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

A GPipe implementation in PyTorch

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.

飞桨大模型开发套件，提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。

InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.

A curated list of awesome projects and papers for distributed training or inference

Serving Inside Pytorch

Decentralized LLMs fine-tuning and inference with offloading

Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*

An Efficient Pipelined Data Parallel Approach for Training Large Model

Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.

gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling

A Throughput-Optimized Pipeline Parallel Inference System for Large Language Models

FTPipe and related pipeline model parallelism research.

Implementation of autoregressive language model using improved Transformer and DeepSpeed pipeline parallelism.

Official implementation of DynPartition: Automatic Optimal Pipeline Parallelism of Dynamic Neural Networks over Heterogeneous GPU Systems for Inference Tasks