qingy2024/GRMR-2B-Instruct-old
The qingy2024/GRMR-2B-Instruct-old is a 2.6 billion parameter instruction-tuned language model developed by qingy2024, fine-tuned from unsloth/gemma-2-2b-bnb-4bit. This model specializes in grammar correction, designed to take any input text and repeat it with fixed grammatical errors. It offers an 8192-token context length, making it suitable for processing moderately sized text inputs for grammar refinement tasks.
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GRMR-2B-Instruct-old: Grammar Correction Model
The GRMR-2B-Instruct-old model, developed by qingy2024, is a 2.6 billion parameter language model specifically fine-tuned for grammar correction. It is based on the unsloth/gemma-2-2b-bnb-4bit architecture and has undergone 300 steps of fine-tuning to enhance its ability to identify and correct grammatical inconsistencies in text.
Key Capabilities
- Grammar Correction: The primary function of this model is to receive input text and output a grammatically corrected version.
- Instruction-Tuned: It is designed to follow instructions for text rephrasing with a focus on grammatical accuracy.
- Base Model: Fine-tuned from Gemma 2 2B, leveraging its foundational language understanding.
Example Use Case
Consider the following example demonstrating its grammar correction capability:
User Input: "Find a clip from a professional production of any musical within the past 50 years. The Tony awards have a lot of great options of performances of Tony nominated performances in the archives on their websites."
Model Output: "Find a clip from a professional production of any musical within the past 50 years. The Tony Awards have a lot of great options of performances of Tony-nominated performances in their archives on their websites."
This model is particularly useful for applications requiring automated text refinement and grammatical accuracy.