sh0ck0r/L3.3-MS-Nevoria-70b-heretic2
sh0ck0r/L3.3-MS-Nevoria-70b-heretic2 is a 70 billion parameter decensored version of the L3.3-MS-Nevoria-70b model, created by sh0ck0r using the Heretic tool. This model merge combines several Llama 3.3-based models to enhance storytelling, detailed scene descriptions, and prose, while specifically reducing positive bias. It is optimized for creative writing and role-playing scenarios, demonstrating strong adherence to system prompts and character consistency.
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Model Overview
sh0ck0r/L3.3-MS-Nevoria-70b-heretic2 is a 70 billion parameter model, a decensored variant of the original Steelskull/L3.3-MS-Nevoria-70b created using the Heretic v1.2.0 tool. This model is a unique merge of several Llama 3.3-based components, including EVA-LLAMA-0.1 for storytelling, EURYALE-v2.3 for detailed scene descriptions, Anubis-v1 for enhanced prose, and Negative_LLAMA to reduce positive bias, all built upon a Nemotron-lorablated base model.
Key Differentiators & Capabilities
- Decensored Output: Significantly reduced refusals (18/100 compared to 98/100 in the original model), allowing for more unconstrained responses.
- Enhanced Creativity & Storytelling: Users report insane creativity, perfect character adherence, and detailed dialogue, excelling in role-playing and adventure scenarios.
- Reduced Positive Bias: The inclusion of Negative_LLAMA intentionally balances the model's output, preventing overly positive or censored responses.
- Robust Context Handling: Demonstrated ability to manage complex scenarios with large lorebooks and multiple characters, even across different locations, without confusion.
- High Token Capacity: Successfully tested with up to 110,000 tokens, maintaining performance up to 70,000 tokens without degradation.
Performance Highlights
- UGI Score: 56.75, with a Willingness Score of 7.5/10.
- Open LLM-Benchmark Average: 43.92%, with notable scores in IFEval (69.63%) and BBH (56.60%).
Recommended Use Cases
- Creative Writing: Ideal for generating imaginative stories, detailed narratives, and immersive prose.
- Role-Playing (RP): Excels in maintaining character adherence, managing complex interactions, and handling sensitive topics without soft refusals.
- Unconstrained Content Generation: Suitable for applications requiring less filtered or biased output, particularly in scenarios where the original model might refuse.
This model is particularly well-suited for users seeking a powerful, creative, and less restrictive language model for narrative generation and interactive storytelling.