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-# RuDOLPH-2.7B (XL)
+# RUDOLPH-2.7B (XL)
 
-RuDOLPH: One Hyper-Modal Transformer can be creative as DALL-E and smart as CLIP
+RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and smart as CLIP
 
 <img src="https://raw.githubusercontent.com/sberbank-ai/ru-dolph/master/pics/RUDOLPH.png" height="60" border="2"/>
 
 Model was trained by [Sber AI](https://github.com/ai-forever) and [AIRI](https://airi.net) teams.  
-* Task: `text2image generation`; `self reranking`; `text ranking`; `image ranking`; `image2text generation`; `zero-shot image classification`, `text2text generation`, 'text-qa', 'math-qa', 'image captioning', 'image generation', 'text-in-the-wild', 'vqa';
+* Task: `text2image generation`; `self reranking`; `text ranking`; `image ranking`; `image2text generation`; `zero-shot image classification`, `text2text generation`; `text-qa`; 'math-qa'; `image captioning`; `image generation`; `text-in-the-wild`; `vqa`;
 * Language: `Russian`
 * Type: `decoder`
 * Num Parameters: `2.7B`
-* Training Data Volume: `119 million text-image pairs; 60 million text paragraphs; 43 334 text question-answer pairs; 100 000 math tasks; 85 000 text-image pairs (for captioning, generation); 85 759 visual question-answer pairs; 140 000 image-text pairs for text recognition`
+* Training Data Volume: `119 million text-image pairs; 60 million text paragraphs`
+* Fine-tuning Data Volume: `43 334 text question-answer pairs; 100 000 math tasks; 85 000 text-image pairs (for captioning, generation); 85 759 visual question-answer pairs; 140 000 image-text pairs for text recognition`
 
 
 # Model Description
 
-**Ru**ssian **D**iffusion **O**n **L**anguage **P**icture **H**yper-modality (RuDOLPH) 2.7B is a fast and light text-image-text transformer designed for a quick and easy fine-tuning setup for the solution of various tasks: from generating images by text description and image classification to visual question answering and more. This model demonstrates the power of Hyper-modality Transformers.
+**RU**ssian **D**ecoder **O**n **L**anguage **P**icture **H**yper-Tasking (RUDOLPH) 2.7B is the largest text-image-text transformer designed for an easy fine-tuning setup for the solution of various tasks: from generating images by text description and image classification to visual question answering and more. This model demonstrates the power of Hyper-modality Transformers.
 
-*(!!!) Hyper-modality means generalized multi-modal, e.g., model that consists of two multi-modal parts: text-2-image and image-2-text becomes text and image hyper-modality model*
+*(!!!) Hyper-Tasking means generalized Multi-Tasking, e.g., the model that can solve almost all tasks within supported modalities (two modalities in case of RUDOLPH: images and Russian texts).
 
 This is a fine-tuned version of the pre-trained RuDOLPH 2.7B model.