N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:May 1, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged is an 8 billion parameter language model developed by N-Bot-Int, built upon p-e-w/Llama-3.1-8B-Instruct-heretic. This model is specifically fine-tuned for uncensored roleplay and narrative writing, excelling in character immersion and proper dialogue/action formatting. It is designed to deliver a robust open roleplay experience on accessible hardware, rivaling other specialized RP models.

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Model Overview

N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged is an 8 billion parameter model developed by N-Bot-Int, based on the Llama-3.1-8B-Instruct-heretic architecture. It is specifically designed and fine-tuned for uncensored roleplay (RP) and narrative writing, aiming to provide a highly capable and accessible RP experience.

Key Capabilities & Features

  • Specialized Roleplay: Excels in diverse RP scenarios, character immersion, and generating stories with proper formatting.
  • Narrative Writing: Supports story generation with correct dialogue ("dialogue") and action (*actions*) formatting.
  • Uncensored Nature: Trained to provide full creative flow without refusal, including "most elaborate experiences" to "most taboo scenarios."
  • Efficient Weight Size: Designed to be efficient for accessible hardware.
  • Training Dataset: Utilizes the custom 17K entry "MEulysis-SYNTHETIC-M1" dataset, synthetically generated from multiple frontier RP models and carefully cleaned.

Training Details

  • Finetuning Tool: Unsloth AI + Huggingface TRL
  • Training Platform: Kaggle Free Tier with T4 x2
  • Epochs: 3
  • Final Training Loss: 0.8 (noted as the lowest achieved)

Good For

  • Users seeking a dedicated model for uncensored roleplay and story generation.
  • Developers looking for a model that handles narrative formatting (dialogue, actions) effectively.
  • Those who require a model capable of generating diverse and elaborate RP scenarios.

Usage Tips

  • Use Llama 3 format for optimal performance.
  • Calibrate settings (e.g., temperature, Top-K) per character card for best results.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p