Reproduce “Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Shengwei Li, Zhiquan Lai, Dongsheng Li, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Kai Lu

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.