Naphula/Warlock-7B-v3

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Jan 17, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

Naphula/Warlock-7B-v3 is a 7 billion parameter Mistral-based causal language model, created by Naphula, specifically designed for advanced roleplay and creative writing. This model is a 'model soup' merge of 32 distinct Mistral 7B finetunes, combining capabilities from various storytellers, logicians, and unbound models. It excels at generating visceral, unfiltered, and creatively boundless narratives, with an uncensored version available that uses MPOA ablation to remove safety filters, making it highly suitable for diverse and unconstrained storytelling applications.

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Warlock 7B v3: The Grand Amalgamation

Warlock 7B v3, developed by Naphula, is a 7 billion parameter model built upon the Mistral architecture, representing a significant advancement in model merging for creative applications. This iteration is a 'model soup' of 32 distinct Mistral 7B finetunes, meticulously selected and merged using the Karcher method to enhance roleplay and creative writing capabilities. It offers both a censored version with refusals and an uncensored version, which utilizes Magnitude-Preserving Orthogonalized Ablation (MPOA) to remove safety filters, allowing for uninhibited storytelling.

Key Capabilities

  • Advanced Roleplay & Creative Writing: Merges strengths from finetunes specialized in storytelling, logic, and unbound generation.
  • Uncensored Output: An uncensored version is available, designed for visceral and unfiltered narrative generation, free from inherent moral compasses.
  • Broad Skill Integration: Combines diverse capabilities from models like Noromaid, MythoMist, WizardLM-2, Hermes 2 Pro, Dolphin, and Airoboros.
  • Customizable Behavior: Its behavior is primarily dictated by the system prompt, offering high flexibility for user-defined constraints.

Good For

  • Generating complex and detailed roleplay scenarios.
  • Creative writing tasks requiring unconstrained and imaginative content.
  • Applications needing to bypass typical LLM safety filters for specific narrative purposes.
  • Users who require a highly adaptable model for diverse storytelling genres, including those with graphic or violent themes (with appropriate system prompting).