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Open models & inferenceEleutherAI
gpt-neox
EleutherAI's library for training large language models from scratch across many GPUs: ZeRO and 3D parallelism, launching via Slurm and MPI. Its own README says to use it only for models with billions of parameters.
Who it is for
For researchers pretraining large models on clusters.
How to start
- Clone the repo and install dependencies:
pip install -r requirements/requirements.txt. - Prepare a model config from the
configsfolder. - Start training:
python3 deepy.py train.py /path/to/configs/my_model.yml.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+13Sep 10 — Oct 5
Author's description
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
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