chartreuse-verte/prose-rewriter-1.7b-v1.5
The chartreuse-verte/prose-rewriter-1.7b-v1.5 is a 1.7 billion parameter language model, built on Qwen/Qwen3-1.7B-Base, specifically designed for paragraph-level prose rewriting. It transforms AI-generated text to sound more human while preserving original semantics. This model excels at editing and restructuring fictional prose, significantly reducing the number of unchanged outputs compared to previous versions.
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Model Overview
The chartreuse-verte/prose-rewriter-1.7b-v1.5 is a specialized 1.7 billion parameter model, fine-tuned from Qwen/Qwen3-1.7B-Base, engineered to rewrite AI-generated prose into more human-like text. It operates at the paragraph level, focusing on preserving the original meaning while enhancing natural language flow. This version, a successor to v1.4, demonstrates a significantly higher willingness to edit text, reducing unchanged outputs from 12.6% to 4.8% in evaluations.
Key Capabilities
- Prose Rewriting: Transforms AI-written prose to sound more human, maintaining semantic integrity.
- Contextual Editing: Edits where previous versions might have passed, increasing the depth of modification.
- Length Transformation: Supports
match,inflate, andcompressmodes to rewrite, cut, or expand text based on input length. - Fictional Prose Optimization: Primarily trained on diverse human-written fictional prose, including r/WritingPrompts, AO3, and roleplay forum content.
- Improved Register: Incorporates a roleplay-forum register in its training, making it suitable for such applications.
Good For
- Enhancing AI-Generated Content: Ideal for making large language model outputs sound more natural and less robotic.
- Creative Writing Assistance: Useful for refining fictional narratives, dialogue, and descriptive passages.
- Specific Length Adjustments: Can be used to rewrite paragraphs to match, inflate, or compress their length while maintaining coherence.
Limitations
It is not an instruct model and works best with its specific prompt format. It is designed for fictional prose in English only and may not perform well on technical documentation. Short inputs (under ~15 words) may lead to fabrication.