LastRef/gemma-3-12b-it-heretic-x
LastRef/gemma-3-12b-it-heretic-x is a 12 billion parameter instruction-tuned multimodal language model, derived from Google's Gemma 3 family, with a 32K token context window. This specific variant is a decensored version created using the Heretic tool and a custom x-rated dataset, outperforming other Gemma-3-12b-it ablations in internal NSFW evaluations. It excels in writing categories among Gemma-3-12b models, making it suitable for applications requiring less restrictive content generation.
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LastRef/gemma-3-12b-it-heretic-x: Decensored Multimodal Gemma 3
This model is a 12 billion parameter instruction-tuned variant of Google's Gemma 3, specifically engineered by LastRef as a decensored version using the Heretic tool. Unlike typical Heretic models, it was developed with a custom x-rated dataset and fine-tuned for less restrictive content generation. It maintains the multimodal capabilities of the base Gemma 3, handling both text and image inputs to generate text outputs, with a 32K token context window.
Key Capabilities
- Decensored Content Generation: Optimized for producing less restricted and x-rated content, outperforming other Gemma-3-12b-it ablations in internal NSFW evaluations.
- Multimodal Input: Processes both text and image inputs (images normalized to 896x896 resolution, encoded to 256 tokens each).
- Strong Writing Performance: Achieves the 2nd place in writing categories for Gemma-3-12b models on the UGI-Leaderboard.
- Broad Language Support: Inherits multilingual support in over 140 languages from the base Gemma 3.
Good For
- Applications requiring decensored or x-rated text generation.
- Creative writing and roleplay scenarios with fewer content restrictions.
- Research and experimentation into model safety and content filtering bypasses.
- Multimodal tasks such as image analysis combined with unrestricted text generation.