RUDOLPH is a hyper-tasking transformer model designed for multimodal text-image-text generation and understanding, primarily targeting Russian language inputs. It aims to provide a single, adaptable model capable of diverse tasks like image generation from text, image classification, and visual question answering, offering a unified solution for complex AI applications.

How It Works

RUDOLPH employs a transformer architecture with sparse attention masks, enabling it to handle multiple modalities (images and Russian text) and perform cross-modal translations. This "hyper-tasking" approach allows a single model to learn and execute a wide range of tasks, potentially reducing the need for specialized models and simplifying fine-tuning for various applications.

Quick Start & Requirements

• Install via pip: pip install rudolph==0.0.1rc10
• Usage and fine-tuning examples are available in the jupyters folder.

Highlighted Details

• Offers multiple model sizes: 350M, 1.3B, and 2.7B parameters.
• Supports Russian language text inputs.
• Designed for fine-tuning across various text-image tasks.

Maintenance & Community

• Developed by AIRI.
• Citation available for academic use.

Licensing & Compatibility

• The README does not explicitly state the license. Compatibility for commercial or closed-source use is undetermined.

Limitations & Caveats

The project is currently in a release candidate state (0.0.1rc10), suggesting potential instability or ongoing development. The primary focus on Russian language may limit its applicability for users working with other languages.