N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged
N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged is an 8 billion parameter Llama 3.1-based causal language model developed by N-Bot-Int, fine-tuned for uncensored roleplay and narrative generation. This model excels at producing story-like content with proper roleplay formatting, including dialogue in quotes and actions in asterisks. It is specifically designed to deliver a robust open roleplay experience on accessible hardware, rivaling other specialized models.
Loading preview...
OpenElla-NovelWriter-8B-V2-merged: Roleplay and Narrative Specialist
Developed by N-Bot-Int, OpenElla-NovelWriter-8B-V2-merged is an 8 billion parameter model built upon p-e-w/Llama-3.1-8B-Instruct-heretic. This model is specifically engineered to provide a limitless and uncensored roleplay experience with efficient weight size, making it accessible for various hardware configurations.
Key Capabilities:
- Exceptional Roleplay: Designed for immersive roleplay scenarios, supporting diverse character types, settings, and narrative styles.
- Narrative Generation: Excels at generating story-like content, often referred to as "Novel formatting."
- Proper RP Formatting: Automatically uses standard roleplay formatting, such as
"dialogue"and*actions*. - Uncensored Nature: Trained to provide full creative flow without refusal, including elaborate and taboo scenarios.
Training Details:
The model was fine-tuned using Unsloth AI and Huggingface TRL on Kaggle's free tier (T4 x2) for 3 epochs. Its core differentiator is the MEulysis-SYNTHETIC-M1 dataset, a 17,000-entry synthetic dataset generated from multiple capable RP models like Mythomax and Hermes. This dataset was carefully cleaned and formatted to ensure high quality and consistency, with a focus on diverse RP scenarios and clear formatting guidance.
Ideal Use Cases:
- Creative Writing: Generating detailed narratives and stories.
- Roleplay Simulations: Engaging in dynamic and immersive character-driven roleplay.
- Content Creation: Producing formatted dialogue and action sequences for various applications.