RUGPT2LARGE

Introduction

RUGPT2LARGE is a Russian language model based on the GPT-2 architecture. It was developed by the SberDevices team and is designed for text generation tasks.

Architecture

The model utilizes the GPT-2 architecture, which is well-suited for text generation and inference tasks. It is implemented in PyTorch and leverages the capabilities of the Transformers library.

Training

RUGPT2LARGE was trained on a dataset comprising 170GB of text data. The training process was conducted over a period of three weeks using 64 GPUs, with a sequence length of 1024 tokens.

Guide: Running Locally

1. Clone the Repository: Download the model files from the Hugging Face repository.
2. Install Dependencies: Ensure you have PyTorch and Transformers installed.
3. Load the Model: Use the Transformers library to load the model and tokenizer.
4. Run Inference: Generate text using the model's text-generation capabilities.

Suggested Cloud GPUs

For optimal performance, consider using cloud-based GPU services such as AWS EC2, Google Cloud Platform, or Azure to facilitate efficient computation.

License

The model and its associated files are subject to the licensing terms provided by the developers. Users should refer to the model's repository for detailed license information.