Spivavtor-Large
| Property | Value |
|---|---|
| Parameter Count | 1.23B |
| License | CC-BY-NC-4.0 |
| Language | Ukrainian |
| Base Model | bigscience/mt0-large |
| Tensor Type | F32 |
What is spivavtor-large?
Spivavtor-large is a powerful Ukrainian language model specifically designed for text editing tasks. Developed by Grammarly, it's an instruction-tuned variant of the mt0-large model, optimized for various text manipulation tasks in Ukrainian. With 1.23B parameters, it represents a significant advancement in Ukrainian language processing capabilities.
Implementation Details
The model is built upon the bigscience/mt0-large architecture and has been fine-tuned using the Spivavtor dataset. It implements a sequence-to-sequence framework using transformers technology, enabling sophisticated text transformation tasks.
- Built on MT0-Large architecture
- Implements Seq2Seq learning approach
- Uses F32 tensor type for computations
- Supports maximum token generation of 250 tokens
Core Capabilities
- Text Paraphrasing
- Sentence Simplification
- Grammar Error Correction (GEC)
- Coherence Improvement
- Ukrainian Language Processing
Frequently Asked Questions
Q: What makes this model unique?
Spivavtor-large is specifically designed for Ukrainian language text editing, making it one of the few specialized models for this language. It combines multiple text transformation capabilities in a single model, from grammar correction to paraphrasing.
Q: What are the recommended use cases?
The model is ideal for applications requiring Ukrainian text enhancement, including educational tools, content editing platforms, and writing assistance systems. It excels at tasks like paraphrasing, simplification, grammar correction, and improving text coherence.
