gemma 4 26B A4B Heretic Stable GGUF gemma 4 26B A4B Heretic Stable is an abliterated evolution built on top of google/gemma 4 26B A4B it . This model applies advanced refusal direction analysis and abliteration based training strategies to significantly reduce internal refusal behaviors while preserving the reasoning and instruction following strengths of the original architecture. The result is a powerful 26B parameter language model optimized for detailed responses and improved instruction adherence. [!IMPORTANT] This model is materialized for research and learning purposes only. The model has reduced internal refusal behaviors, and any content generated by it is used at the user’s own risk. The authors and hosting page disclaim any liability for content generated by this model. Users are responsible for ensuring that the model is used in a safe, ethical, and lawful manner. Evaluation [Self Reported] Metric Result Refusal Rate (harm bench) 0 / 500 Test Setup 500 random harmful prompts Inference Pipeline Transformers Inference Type text generation Dataset harm bench Note: This model was tested on 500 randomly sampled harmful prompts based on the harm bench dataset. The result show…
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