from the repository root. Warning:Our codebase relies onDeeperSpeed, our fork of theDeepSpeedlibrary with some added changes. We strongly recommend using Anaconda, a virtual machine, or some other form of environment isolation before continuing. Failure to do so may cause other repositories that r...
GPT-NeoX This repository recordsEleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA'sMegatron Language Modeland has been augmented with techniques fromDeepSpeedas well as some novel optimizations. We aim to make this repo a centralized and...
If you have found the GPT-NeoX library helpful in your work, you can cite this repository as @software{gpt-neox-library,title={{GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch}},author={Andonian, Alex and Anthony, Quentin and Biderman, Stella and Black, Sid and Gali, Pree...
Steps to setup GPT-NeoX on GCP VM Instance To set up the GPT-NeoX on GCP/AWS we will need an instance with 45GB of GPU RAM and 40GB of CPU RAM. On AWS we will needg4dn.12xlargeor a similar instance. Step 1:Installing necessary ubuntu dependencies: sudoaptupdatesudoaptinstallpython3...
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GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained onthe Pileusing theGPT-NeoX library. Its architecture intentionally resembles that of GPT-3, and is almost identical to that ofGPT-J- 6B. Its training dataset contains a multitude of English-language texts, reflecting ...
🚀 Feature request Over at EleutherAI we've recently released a 20 billion parameter autoregressive gpt model (see gpt-neox for a link to the weights). It would be great to get this into transformers! Motivation gpt-neox library is not qu...
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. - gpt-neox/Dockerfile at main · KeitaW/gpt-neox
To convert a GPT-NeoX library checkpoint to Hugging Face-loadable format, run: ```bash python ./tools/ckpts/convert_neox_to_hf.py --input_dir /path/to/model/global_stepXXX --config_file your_config.yml --output_dir hf_model/save/location --precision {auto,fp16,bf16,fp32} --archit...
GPT-NeoX-20B is a 20B-parameter autoregressive Transformer model developed byEleutherAIwith the support ofCoreWeave, trained using theGPT-NeoXlibrary. Some notes about the model: The model weights and activations come in half-precision (fp16). ...