N-Bot-Int/MrgrtV1-8B-merged
MrgrtV1-8B-merged is an 8 billion parameter language model developed by N-Bot-Int, fine-tuned from MuXodious/Llama-3.3-8B-Instruct-128K-PaperWitch-heresy. This model is specifically optimized for high-quality roleplaying scenarios, trained on the 100K entry MEulysis-Cleaned synthetic dataset. It excels in contained roleplay and aims for enhanced coherence and creative flow without refusal.
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MrgrtV1-8B-merged: An 8B Model for Enhanced Roleplaying
MrgrtV1-8B-merged (pronounced Margaret-V1) is an 8 billion parameter AI model developed by N-Bot-Int, built upon MuXodious/Llama-3.3-8B-Instruct-128K-PaperWitch-heresy. This model represents N-Bot-Int's latest training pipeline innovations, focusing on maximizing coherence and quality for roleplaying applications.
Key Capabilities & Training:
- Roleplay Optimization: Specifically fine-tuned for roleplay scenarios, aiming for high coherence and creative flow.
- MEulysis-Cleaned Dataset: Trained on a unique 100,000-entry synthetic dataset, generated from multiple frontier roleplay models like Mythomax and Hermes.
- Diverse RP Focus: The dataset covers a wide range of character types, settings, and narrative styles, including both elaborate and taboo scenarios.
- Llama 3 Chat Formatting: Incorporates Llama 3 chat formatting within its training data to optimize quality with Llama-based models.
- Uncensored Nature: The model is noted for its uncensored nature, requiring careful and ethical consideration during use and further fine-tuning.
Good For:
- Contained Roleplay: Excels in structured or contained roleplay scenarios, offering improved coherence.
- Creative Writing: Designed to provide full creative flow without refusal, beneficial for narrative generation.
- Experimentation: Developers looking for a base model with strong roleplaying capabilities for further fine-tuning, particularly with its AGPL 3.0 license.
While currently performing best in contained roleplay, future versions are planned to improve support for open roleplay scenarios. Users are advised to use Llama 3 format for optimal performance and calibrate model settings per character card.