This is a decensored version of google/gemma 4 31b it, made using Heretic v1.2.0+custom with the Arbitrary Rank Ablation (ARA) method Abliteration parameters Parameter Value : : : start layer index 2 end layer index 60 preserve good behavior weight 0.9920 steer bad behavior weight 0.0001 overcorrect relative weight 0.4709 neighbor count 10 Performance Metric This model Original model (google/gemma 4 31b it) : : : : : KL divergence 0.0120 0 (by definition) Refusals 5/100 98/100 Hugging Face GitHub Launch Blog Documentation License : Apache 2.0 Authors : Google DeepMind Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open weights models in both pre trained and instruction tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. Featuring both Dense and Mixture of Experts (MoE) architectures, Gemma 4 is well suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: E2B , E4B , 26B A4B , and 31B . Their d…
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