BennyDaBall/Qwen3-4b-Z-Image-Turbo-AbliteratedV1
BennyDaBall/Qwen3-4b-Z-Image-Turbo-AbliteratedV1 is an abliterated version of the Tongyi-MAI/Z-Image-Turbo text encoder, specifically modified to reduce image generation and general refusal rates. This model, developed by BennyDaBall, achieves a low refusal rate of 4/100 with a minimal KL Divergence of 0.0004, indicating high fidelity to the base model. It is designed for users who require a text encoder that generates desired content with significantly fewer content moderation restrictions. The model is available in various GGUF quantization formats, ranging from F16 to Q2_K, offering flexibility for different performance and size requirements.
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Overview
BennyDaBall/Qwen3-4b-Z-Image-Turbo-AbliteratedV1 is an abliterated version of the Tongyi-MAI/Z-Image-Turbo text encoder. Developed by BennyDaBall, this model has been specifically engineered to drastically reduce content refusal rates, particularly for image generation prompts and general content restrictions.
Key Capabilities
- Significantly Reduced Refusals: Achieves a refusal rate of only
4/100in torture tests, targeting both image generation and general content refusals. - High Fidelity: Maintains a very low KL Divergence of
0.0004from the base model, indicating minimal impact on the original model's quality and capabilities despite the ablation. - Flexible Quantization: Provided in multiple GGUF formats, including F16 (8.05 GB), Q8_0 (4.28 GB), Q6_K (3.31 GB), Q5_K_M (2.89 GB), Q4_K_M (2.50 GB), Q4_K_S (2.38 GB), Q3_K_M (2.08 GB), and Q2_K (1.67 GB), allowing users to choose based on their hardware and performance needs.
Good For
- Users seeking a text encoder with minimal content moderation and refusal behaviors.
- Applications requiring unrestricted image generation prompts.
- Developers who need a model that will generate desired content without frequent "I can't generate that" responses.