Dyslexic Writer - Qwen3-1.7B Overview

This model, jburnford/dyslexic-writer-qwen3-1.7b, is a fine-tuned version of the Qwen/Qwen3-1.7B architecture, specifically developed by jburnford. Its primary purpose is to provide robust spelling and grammar correction, with a particular focus on aiding dyslexic writers. The model has been trained on approximately 495,000 examples, incorporating diverse data such as word pairs, sentence corrections, and paragraph-level error injection from synthetic stories.

Key Capabilities

• High Accuracy Correction: Achieves an 82.2% exact match accuracy and a 75.9% error fix rate for spelling and grammar.
• Error Preservation: Demonstrates a 98.9% no-error preservation rate, ensuring correct text remains unchanged.
• Optimized for Dyslexia: Specifically fine-tuned to address common writing challenges faced by dyslexic individuals.
• Efficient Size: At 1.7 billion parameters, it offers a balance between performance and resource usage.

Good For

• Automated Proofreading: Ideal for integrating into writing tools or applications that require automatic spelling and grammar checks.
• Assistive Technologies: Particularly beneficial for creating tools designed to support dyslexic users in their writing process.
• Text Preprocessing: Can be used to clean and standardize text data by correcting common errors before further processing.