DavidAU/Qwen3.5-9B-F451-AND-TRI-Polar-Ultra-Pro-Writer-Uncensored-Heretic
DavidAU/Qwen3.5-9B-F451-AND-TRI-Polar-Ultra-Pro-Writer-Uncensored-Heretic is a 9 billion parameter multimodal language model based on the Qwen3.5 architecture, fine-tuned in two stages. It was initially trained on a creative dataset ("F451") and subsequently on a Polaris (GPT5) dataset. This model is designed for creative writing and uncensored content generation, offering enhanced prose and thinking capabilities while maintaining a 32768 token context length.
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Model Overview
DavidAU/Qwen3.5-9B-F451-AND-TRI-Polar-Ultra-Pro-Writer-Uncensored-Heretic is a 9 billion parameter multimodal language model built upon the Qwen3.5 architecture. It underwent a two-stage training process, first with a creative dataset ("F451") and then with a Polaris (GPT5) dataset, which not only refined its prose and thinking but also improved core benchmarks. This model is explicitly designed to be "heretic" and "fully uncensored," meaning it will generate content without refusal, including x-rated material, though it may require explicit directives for desired graphic or explicit levels.
Key Capabilities
- Uncensored Content Generation: Designed to produce content "no questions asked," including explicit and graphic material, with a significantly reduced refusal rate (6/100 compared to 100/100 for the original Qwen3.5-9B-Instruct).
- Enhanced Creative Writing: Fine-tuned on creative datasets to improve prose and thinking capabilities.
- Multimodal Support: Includes vision capabilities, with image input tested and working, and video input supported by the base Qwen3.5 architecture.
- Long Context Handling: Natively supports a context length of 262,144 tokens, extensible up to 1,010,000 tokens using YaRN scaling techniques.
- Agentic Functionality: Excels in tool calling, with recommended integration via Qwen-Agent and Qwen Code for terminal-based AI agent applications.
Good For
- Creative Writing and Roleplay: Ideal for applications requiring highly creative, descriptive, or unconstrained narrative generation.
- Uncensored Applications: Suitable for use cases where content filtering or refusal is undesirable, such as adult content generation or exploring sensitive topics.
- Multimodal Tasks: Effective for tasks involving image and video understanding, especially when combined with its uncensored text generation.
- Agent Development: Strong tool-calling capabilities make it a good choice for building AI agents that interact with external systems or codebases.