gpt-neox

gpt-neox addresses the challenge of efficiently training large language models by implementing model parallel autoregressive transformers on GPUs. This is particularly beneficial for ML/AI teams looking to enhance their natural language processing capabilities. The project is production-ready, demonstrating a high level of maturity with over 7,000 stars on GitHub, indicating strong community support and ongoing development. However, it may not be the right choice for smaller-scale projects or teams without the necessary GPU infrastructure, as the complexity and resource requirements can be significant.

gpt-neox is a strong choice for teams aiming to train large-scale language models with high performance on GPU clusters. Teams should consider alternatives if they require a simpler, more lightweight solution or are working with limited computational resources.

This open source tool for engineering teams is primarily used by machine learning engineers, data scientists, and AI researchers. It is typically integrated into products and systems that require advanced language understanding, such as chatbots, virtual assistants, and automated content generation platforms.

Latest commit: 2026-02-03. Over the past 96 days, this repository gained 49 stars (+0.7% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.