llmfan46/Gemma-4-Harmonia-31B-uncensored-heretic
llmfan46/Gemma-4-Harmonia-31B-uncensored-heretic is a 31 billion parameter Gemma 4-based model developed by llmfan46, created through a multi-stage fusion of seven elite foundation and specialized models. This model significantly reduces content refusals by 91% (9/100 vs 97/100) compared to its original counterpart, Gemma-4-Harmonia-31B, while maintaining a low KL divergence of 0.0047 to preserve quality. It is optimized for creative reasoning and nuanced behavior, making it suitable for applications requiring less restrictive content generation.
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What is Gemma-4-Harmonia-31B-uncensored-heretic?
This model is a 31 billion parameter variant of the Gemma 4 architecture, developed by llmfan46. It is a decensored version of virtuous7373/Gemma-4-Harmonia-31B, created using the Heretic v1.2.0 tool with the Arbitrary-Rank Ablation (ARA) method. The primary goal of this modification is to drastically reduce content refusals while preserving the original model's quality.
Key Differentiators & Capabilities
- Significantly Reduced Refusals: Achieves 91% fewer refusals (9/100) compared to the original model (97/100), allowing for less restricted content generation.
- Quality Preservation: Maintains a low KL divergence of 0.0047 from the original model, indicating minimal degradation in overall performance and knowledge.
- Advanced Merging Methodology: Built using a three-phase fusion protocol (Nullspace Coherence Mapping, Surgical Synaptic Gating, Covariance Activation Matching) that combines seven base models including
Gemma-4-31B-Base,GarnetV2-31B,MeroMero-31B,Gembrain-31B,Equinox-31B,Fabled-Gemma4, andOrtenzya-The-Creative-Wordsmith. - MMLU Performance: Demonstrates strong general knowledge with an overall accuracy of 84.55% on the Massive Multitask Language Understanding (MMLU) benchmark, closely matching the original model's 85.66%.
Should I use this for my use case?
This model is ideal for applications where reduced content restrictions and a more 'uncensored' output are desired, without significant compromise on the underlying model's quality or general intelligence. If your use case requires creative writing, roleplay, or other tasks that might be constrained by typical safety filters, this model offers a compelling alternative. Users prioritizing unrestricted output while retaining strong foundational capabilities should consider this model.