Gpt J 6B

🚀 GPT-J 6B Model

GPT-J 6B is a transformer model that replicates the GPT-3 architecture, offering a powerful pre - trained option for various NLP tasks.

🚀 Quick Start

This section will guide you through the basic information and usage of the GPT - J 6B model.

✨ Features

• Replicated Architecture: GPT - J 6B is designed using EleutherAI's replication of the GPT - 3 architecture.
• Version Conversion: The original TPU - trained model has been converted to a GPU - friendly version, making it more accessible for normal users.
• Inference and Fine - Tuning: The model can perform inference on a single 16G GPU and can be fine - tuned using 8 * 32G GPUs with the DeepSpeed library for distribution.

📚 Documentation

Model Description

GPT - J 6B is a transformer model designed using EleutherAI's replication of the GPT - 3 architecture. GPT - J refers to the class of models, while 6B represents the number of parameters of this particular pre - trained model.

The original GPT - J - 6B model is trained with TPUs, which is not easy to use for normal users. Thus, through a converting script, we convert the TPU version GPT - J - 6B into GPU version, which could be loaded and fine - tuned with GPUs.

As we have tried, the model can be loaded with 1 GPU with 16G memory to do inference. For fine - tune, we used 8 * 32G GPUs with DeepSpeed library to distribute the model, data and gradients, in order to allocate the huge amount of model parameters.