GRMR-V3-G4B by qingy2024 is a fine-tuned Gemma 3 4B model specifically optimized for English grammar correction tasks. This model excels at fixing grammatical errors, punctuation, and spelling, and improving sentence structure. It was fine-tuned using full parameter training on the qingy2024/grmr-v4-60k dataset, featuring a specialized chat template for clear distinction between original and corrected text. It is intended for applications requiring high-quality text refinement.
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GRMR-V3-G4B: Specialized Grammar Correction Model
GRMR-V3-G4B is a Gemma 3 4B model developed by qingy2024, meticulously fine-tuned for grammar correction in English text. It leverages full parameter fine-tuning on the extensive qingy2024/grmr-v4-60k dataset, which comprises 60,000 examples of original and corrected sentences.
Key Capabilities
- Grammar Error Correction: Identifies and rectifies grammatical mistakes.
- Punctuation and Spelling: Corrects punctuation and spelling errors.
- Sentence Structure Improvement: Enhances clarity and structure of sentences.
- Custom Chat Template: Utilizes a unique chat template with
<|text_start|>and<|corrected_start|>tags to clearly delineate input and output.
Optimal Usage
For best performance, specific sampler settings are recommended, including temperature = 0.7, min_p = 0.01, top_p = 0.95, and top_k = 40. The model was trained with a maximum sequence length of 16,384, enabling it to handle longer texts. While highly effective for general grammar correction, it may face limitations with highly technical content or non-standard English, and might occasionally introduce subtle changes in meaning.