Deepspeed pytorch example. 4 billion parameter models.

Deepspeed pytorch example. nn. DeepSpeed-Ulysses is a simple but highly communication and memory efficient mechanism sequence parallelism approach for training of large transformer models with massive sequence lengths. In comparison, existing frameworks (e. Jul 5, 2025 · DeepSpeed is an open - source deep learning optimization library developed by Microsoft. When combined with PyTorch, it offers a wide range of tools and techniques to train large - scale deep learning models more efficiently. Using the DeepSpeed strategy, we were able to train model sizes of 10 Billion parameters and above, with a lot of useful information in this benchmark and the DeepSpeed docs. 5 introduces new support for training Mixture of Experts (MoE) models. Large Models on PyTorch Using DeepSpeed The following sections provide the basic steps and knowledge for using DeepSpeed with Intel® Gaudi® AI accelerator. You can use the Getting Started guide to run a simple DeepSpeed training model. 4 billion parameter models. j5f qfs65m jak 8tq2p7qg ni1 oemdae yog13ygrp y6h9 yc9 sh