DreamFast/gemma-3-12b-it-heretic-v2
DreamFast/gemma-3-12b-it-heretic-v2 is a 12 billion parameter instruction-tuned language model based on Google's Gemma 3, specifically modified using the Heretic v1.2.0 tool. This model significantly reduces refusals (from 100/100 to 8/100) while preserving model quality, making it an uncensored text encoder. It is primarily optimized for use in video generation workflows, particularly with LTX-2, to ensure more faithful prompt encoding for creative content.
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Gemma 3 12B IT - Heretic v2 (Abliterated)
This model is an "abliterated" version of Google's Gemma 3 12B IT, created using Heretic v1.2.0. Its primary distinction is a significant reduction in refusals, making it an uncensored text encoder while maintaining minimal model damage (KL Divergence of 0.0801). This version is particularly suited for use in video generation models like LTX-2, where it helps ensure more faithful prompt encoding for creative content by removing soft censorship in embeddings.
Key Capabilities
- Reduced Refusals: Achieves 8/100 refusals on previously censored prompts, down from 100/100 in the original model.
- Preserved Quality: Maintains model quality with a low KL Divergence of 0.0801.
- Vision Support: ComfyUI variants retain
vision_modelandmulti_modal_projectorkeys, enabling I2V (image-to-video) prompt enhancement. - Optimized Quantization: Includes NVFP4 quantization for Blackwell GPUs, offering ~3x smaller file sizes than bf16, and updated GGUF support.
Good for
- Uncensored Text Encoding: Ideal for applications requiring a text encoder with reduced content restrictions.
- Video Generation (LTX-2): Specifically designed to enhance prompt adherence and creative output in LTX-2 text-to-video (T2V) and image-to-video (I2V) workflows.
- Resource-Efficient Deployment: Offers various quantized formats (NVFP4, FP8, GGUF Q4_K_M) for deployment on diverse hardware, including Blackwell GPUs and systems with limited VRAM.