ReadyArt/Dark-Nexus-27B-v3.0
ReadyArt/Dark-Nexus-27B-v3.0 is a 27 billion parameter language model developed by FrenzyBiscuit and Sleep Deprived, building upon a merged dataset from previous 'Dark' series models. This model is specifically fine-tuned for generating content without moral or ethical constraints, enthusiastically engaging with NSFW and graphically violent scenarios. It is intended for personal usage only, with users accepting full responsibility for generated content.
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Dark Nexus v3.0: Unconstrained Generation
Dark Nexus v3.0 is a 27 billion parameter language model, representing a significant evolution from its predecessors including Dark Desires, Darkness Incarnate, and Omega Darker. Developed by FrenzyBiscuit and Sleep Deprived, this model has undergone a two-epoch fine-tuning process on a merged and partially cleaned dataset, aiming to remove formatting issues while retaining its core characteristics.
Key Capabilities & Characteristics
- Unrestricted Content Generation: Designed to operate without moral or ethical safeguards, Dark Nexus v3.0 will engage with and graphically depict any requested content, including NSFW and violent scenarios.
- Merged Dataset: Built upon a lineage of previous 'Dark' series models, indicating a focus on specific, often transgressive, content domains.
- Dataset Cleaning: Efforts were made to clean the dataset of formatting issues, though this resulted in a reduction of the overall dataset size.
Intended Use & Limitations
- Personal Use Only: The model is explicitly intended for personal usage, with commercial use restricted by the original Apache 2.0 license.
- User Responsibility: Users are required to be 18+ years old and accept full responsibility for all generated content, as the creators bear no responsibility for its output.
- Sampler Settings: Users are advised to experiment with sampler settings to achieve desired outputs.
This model is a specialized tool for users seeking an LLM that bypasses conventional ethical and safety filters, offering complete freedom in content generation at the user's own risk.