Documented abliteration method
According to the model card, the checkpoint was produced with Heretic v1.2.0 abliteration parameters and no post-abliteration tuning.
Open Source Model Profile · DrRiceIO7
gemma-3-4b-it-heretic-creative is a 4.3B Gemma 3 abliterated fine-tune from DrRiceIO7. Its model card documents Heretic v1.2.0 abliteration with publisher-reported refusal and divergence figures.
gemma-3-4b-it-heretic-creative is published by DrRiceIO7 as an image-text-to-text Gemma 3 fine-tune. The captured configuration identifies Gemma3ForConditionalGeneration, and Safetensors metadata reports about 4.3B parameters. According to the model card, it is a raw Heretic-abliterated, decensored derivative aimed at creative writing.
According to the model card, the checkpoint was produced with Heretic v1.2.0 abliteration parameters and no post-abliteration tuning.
The publisher reports about a 50% reduction in slop density against base Gemma 3 4B across 1,000 story samples.
The included Gemma 3 description says 4B sizes use 128K tokens of input context with text plus image input and text output.
Source: DrRiceIO7/gemma-3-4b-it-heretic-creative
Captured: Unknown. Processed: 2026-09-07T19:35:39.097220+00:00.
Ran an abliteration run on my PC for like 24 hours. This is the best model for creative writing, in my opinion, but if you want something that's a lot closer to Gemma 3 4B in terms of intelligence, check out my other heretic-abliterated Gemma model . While this model hasn't undergone a traditional post-abliteration fine-tune, the specific weights targeted during the process have resulted in a massive reduction in "AI Slop.". Testing against the base Gemma 3 4B model shows a ~50% reduction in slop density. Slop score in general is still high, which is why I recommend this as a base. My main goal for this run was to get a model with c…
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