Thus describes EleutherAI's GPT-NeoX library, a robust open-source framework for training large-scale autoregressive language models on GPUs, building upon the Megatron and DeepSpeed libraries. It highlights the library's advanced features like distributed training, support for various hardware and systems, and cutting-edge architectural innovations. The text also provides practical guidance on setup, configuration, data preparation, training, inference, and evaluation, alongside details on pretrained models like GPT-NeoX-20B and Pythia. Furthermore, it details how to export models to Hugging Face and monitor experiments, underscoring its widespread adoption in research and industry.
Source:
https://github.com/EleutherAI/gpt-neox
