Tds810/humanizer
Tds810/humanizer is a 12 billion parameter model developed by Tds810, fine-tuned from Google's Gemma-4-12B, designed to rewrite AI-generated text to sound more human. It maintains factual accuracy, preserving numbers, units, dates, names, and quotes, and supports both English and Chinese. The model excels at transforming AI drafts of emails, essays, reports, and forum posts into natural-sounding human prose, running efficiently on local machines with a 32768 token context length.
Loading preview...
Overview
Tds810/humanizer is a 12 billion parameter model, fine-tuned from Google's Gemma-4-12B, specifically engineered to transform AI-written drafts into text that reads as if a human wrote it. It operates locally and is designed to preserve all factual details such as numbers, units, dates, names, and quotes, without adding new information. The model supports both English and Chinese.
Key Capabilities
- Human-like Rewriting: Rewrites AI-generated text (emails, essays, reports, forum posts) to improve naturalness and readability.
- Factual Fidelity: Strictly adheres to the original text's facts, ensuring no numbers, units, dates, names, or quotes are altered or omitted.
- Multilingual Support: Processes and rewrites drafts in both English and Chinese.
- Local Operation: Designed to run efficiently on local machines, with optimized GGUF files for various memory configurations (e.g., Q8_0 for 32GB+ RAM, IQ2_XS-QAT for 8GB).
- High AI Detector Evasion: Achieved 95% human judgment by Originality.ai at its strictest setting (11 of 210 English rewrites flagged as AI), significantly outperforming previous versions and public baselines.
- Quantization-Aware Training: Features custom quantization for 2-bit, Q3, and Q4_K_M GGUF files, improving agreement with the full bf16 model compared to standard quantization.
Good for
- Developers and Users needing to "humanize" AI output: Ideal for anyone who wants to make AI-generated content sound more natural and less robotic.
- Applications requiring factual accuracy: Suitable for tasks where preserving specific details (numbers, dates, names) is critical.
- Local deployment: Excellent for users who need to run the model offline or on devices with limited internet connectivity, with optimized versions for various memory footprints.
- Content creation in English and Chinese: Useful for generating human-sounding text in both languages across various genres like emails, reports, and social media posts.