gpt neo 125m

Introduction

GPT-Neo 125M is a transformer model developed by EleutherAI, designed to replicate the architecture of GPT-3. It belongs to the GPT-Neo class of models, with 125 million parameters in this specific version. The model is primarily used for text generation tasks, leveraging its pre-trained capabilities to generate text from prompts.

Architecture

GPT-Neo 125M is based on the transformer architecture, specifically designed to mimic the structure of GPT-3. The model uses an autoregressive approach to generate text, predicting the next token in a sequence given previous tokens. This version of the model contains 125 million parameters, which contributes to its ability to generate coherent and contextually relevant text.

Training

The model was trained using the Pile, a comprehensive dataset curated by EleutherAI, covering a diverse range of text sources. The training process involved processing 300 billion tokens over 572,300 steps. The model was trained as a masked autoregressive language model using cross-entropy loss, allowing it to generate text by learning from large-scale data.

Guide: Running Locally

To use GPT-Neo 125M locally, follow these steps:

1. Install Transformers Library: Ensure you have the transformers library installed.

   pip install transformers
   

2. Load the Model: Use the Transformers pipeline for text generation.

   from transformers import pipeline
   generator = pipeline('text-generation', model='EleutherAI/gpt-neo-125M')
   

3. Generate Text: Provide a prompt and generate text.

   generator("EleutherAI has", do_sample=True, min_length=20)
   

For optimal performance, especially with larger models or datasets, consider using cloud GPUs from providers like AWS, GCP, or Azure.

License

GPT-Neo 125M is released under the MIT License, allowing for wide usage and distribution with minimal restrictions. This license permits modification, distribution, and private use, provided that the original license is included with any substantial portions of the software.