DavidAU/Qwen3-Grand-Horror-DARK-Child-1.7B

DavidAU/Qwen3-Grand-Horror-DARK-Child-1.7B is a 2 billion parameter Qwen3-based language model fine-tuned by DavidAU using an in-house horror dataset. Optimized for generating horror-themed content, it produces mild to strong levels of horror, madness, swearing, and gore. The model features a 40960 token context length and is specifically designed for creative writing, roleplay, and fiction with a pervasive horror tinge, even for prompts not explicitly requesting it.