ElonCoding/humanizer
ElonCoding/humanizer is a 12 billion parameter model designed to rewrite AI-generated text into more human-like prose, supporting both English and Chinese. It is specifically trained to preserve all factual details like numbers, units, dates, names, and quotes without adding new information. This model excels at making AI drafts (emails, essays, reports) sound natural and can run locally, offering a solution for enhancing text authenticity.
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humanizer: AI-to-Human Text Rewriter
humanizer is a specialized 12 billion parameter model developed by ElonCoding that transforms AI-written drafts into text that reads as if a human wrote it. It supports both English and Chinese content, making it versatile for various applications. A key differentiator is its rigorous training to preserve all factual information (numbers, units, dates, names, quotes) while significantly altering the writing style to be more natural and less robotic. The model is designed for local execution, with optimized GGUF files available for various memory configurations.
Key Capabilities
- Human-like Rewriting: Rewrites AI-generated text (emails, essays, reports, forum posts) to sound natural and human-authored.
- Fact Preservation: Meticulously trained to retain every number, unit, date, name, and quote from the original draft without alteration or addition.
- Multilingual Support: Handles both English and Chinese texts effectively.
- High AI-Detector Evasion: Achieves 95% human judgment by Originality.ai at its strictest setting, significantly outperforming previous versions and other tools.
- High Factual Fidelity: Maintains factual accuracy, with 376 out of 420 English rewrites having no factual problems according to a strict LLM judge.
- Optimized Quantization: Features custom-quantized GGUF files (2-bit, Q3, Q4_K_M) that offer superior quality at smaller file sizes compared to standard quantization, achieved through quantization-aware training and distillation.
- Local Operation: Designed to run offline, with a dedicated app for Mac and Windows, and compatibility with
llama.cpp, MLX, transformers, and vLLM.
Good for
- Content Creators: Enhancing the naturalness of AI-generated articles, blog posts, and social media content.
- Business Professionals: Humanizing AI-drafted emails, reports, and internal communications.
- Students and Academics: Refining AI-assisted essays and papers to meet human writing standards.
- Developers: Integrating into applications where human-sounding text output is critical, especially for agents that need to produce natural language.