Yahoo messenger for mac os x 10.6 88/13/2023 ![]() megatron/fused_kernels/setup.py install # optional if not using fused kernels Pip install -r requirements/requirements.txt ![]() To install the remaining basic dependencies, run: Python 3.9 appears to work, but this codebase has been developed and tested for Python 3.8. Note: Some of the libraries that GPT-NeoX depends on have not been updated to be compatible with Python 3.10+. Quick Start Environment and Dependencies Host Setupįirst make sure you are in an environment with Python 3.8 with an appropriate version of PyTorch 1.8 or later installed. Version 2.0 of GPT-NeoX and DeeperSpeed are the latest versions built on the latest DeepSpeed, and will be maintained going forward.Version 1.0 of GPT-NeoX and DeeperSpeed maintain snapshots of the old stable versions that GPT-NeoX-20B and the Pythia Suite were trained on.In order to migrate to the latest upstream DeepSpeed version while allowing users to access the old versions of GPT-NeoX and DeeperSpeed, we have introduced two versioned releases for both libraries: Prior to, GPT-NeoX relied on DeeperSpeed, which was based on an old version of DeepSpeed (0.3.15). For generic inference needs, we recommend you use the Hugging Face transformers library instead which supports GPT-NeoX models. If you are not looking to train models with billions of parameters from scratch, this is likely the wrong library to use. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training.įor those looking for a TPU-centric codebase, we recommend Mesh Transformer JAX. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. This repository records EleutherAI's library for training large-scale language models on GPUs.
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