GPT‑NeoX is an open-source framework and model series from EleutherAI designed for training and running large autoregressive language models. Built using NVIDIA Megatron-style architecture and DeepSpeed optimizations, it supports distributed training across GPUs and supercomputers with features like ZeRO and 3D parallelism. GPT‑NeoX includes production-ready models (e.g., GPT‑NeoX‑20B) and is used widely in research and industry settings.As a powerful open-source alternative to proprietary LLM platforms, GPT‑NeoX competes with models like GPT‑3, Llama, and Claude—offering full transparency, reproducibility, and community-driven development.
Key features include:
Distributed training support: ZeRO and 3D tensor parallelism for efficient scaling github.com Native integration with DeepSpeed & Megatron for high-performance model training Pretrained models available: Includes GPT‑NeoX‑20B with Apache 2.0 license Multi-platform scalability: Runs on AWS, CoreWeave, Summit, Frontier, and more github.com
Use cases include:
Training custom LLMs at scale for research or commercial applications Fine-tuning open-source models for domain-specific or governance-sensitive tasks Benchmarking large-scale model performance and efficiency Reproducing state-of-the-art model training workflows for transparency
