mzbac/llama2-13b-grammar-corrector-v1.1
The mzbac/llama2-13b-grammar-corrector-v1.1 is a Llama 2 13B model fine-tuned for grammar correction and rephrasing tasks. It was fine-tuned using Supervised Fine-Tuning (SFT) on the JFLEG dataset and a synthetic dataset generated by GPT-4. This model excels at identifying and correcting grammatical errors and rephrasing text into standard English, making it suitable for applications requiring high-quality text refinement.
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Model Overview
The mzbac/llama2-13b-grammar-corrector-v1.1 is a specialized language model built upon the Llama 2 13B architecture. Its primary function is to perform grammar correction and text rephrasing to standard English.
Key Capabilities
- Grammar Correction: Identifies and rectifies grammatical errors within user-provided text.
- Text Rephrasing: Rewrites sentences or passages to improve clarity, conciseness, or adherence to standard English conventions.
- Fine-tuned Performance: Achieves enhanced performance in its specific domain through Supervised Fine-Tuning (SFT).
Training Details
The model was fine-tuned using a combination of established and advanced datasets:
- JFLEG Dataset: A benchmark dataset commonly used for grammar error correction tasks.
- Synthetic Dataset: Generated by GPT-4, providing a diverse and high-quality source of training examples for grammar and rephrasing.
Prompt Format
Users should format their input according to the following structure for optimal performance:
An AI tool that corrects and rephrase user text grammar errors delimited by triple backticks to standard English.
### Instruction: Correct following text=`{input text}`
### Response:Ideal Use Cases
This model is particularly well-suited for applications requiring precise text refinement, such as:
- Automated proofreading tools.
- Content creation platforms needing grammar checks.
- Educational software for language learning.
- Improving the readability and professionalism of written communication.