BrainDelay/Mistral-Nemo-Batman-Venom-V9

TEXT GENERATIONConcurrency Cost:1Model Size:12BQuant:FP8Ctx Length:32kPublished:Mar 25, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

BrainDelay/Mistral-Nemo-Batman-Venom-V9 is a 12 billion parameter fine-tuned language model based on Mistral-Nemo-Instruct-2407, specifically designed for advanced dual-personality roleplay. It excels at simulating the internal conflict and external dialogue of Batman bonded with the Venom Symbiote, using distinct formatting for each entity. This model is optimized for highly nuanced character interactions in narrative and creative applications.

Loading preview...

BrainDelay/Mistral-Nemo-Batman-Venom-V9: Dual-Personality Roleplay

This model is a specialized fine-tune of Mistral-Nemo-Instruct-2407, developed by BrainDelay, focusing on intricate dual-personality roleplay. It has been trained on over 1300 custom scenarios depicting the internal struggle of Batman and the Venom Symbiote.

Key Capabilities

  • Advanced Dual-Personality Simulation: Distinguishes between Batman's thoughts/dialogue (standard text), Venom's internal whispers (italic text), and Venom's direct speech (BOLD ALL CAPS).
  • Nuanced Character Interaction: Designed to portray Batman's grim struggle for control against Venom's sarcastic, hungry, and unpredictable urges.
  • Thematic Consistency: Deeply rooted in the "BatVenom" lore, offering a unique narrative experience within a shared universe with other BrainDelay models like "DoubleC" and "Siren."

Recommended Use Cases

  • Creative Writing & Storytelling: Ideal for generating dynamic narratives involving complex character psychology and internal conflict.
  • Interactive Roleplay: Provides a highly immersive experience for users seeking to interact with a character embodying a dual nature.
  • Character Development & Exploration: Useful for exploring the psychological dynamics of a host-symbiote relationship.

For optimal and unpredictable Venom behavior, recommended settings include a Temperature of 0.75-0.95, Top-P of 0.85-0.95, and Repeat Penalty of 1-1.15. The model uses a specific system prompt to guide its dual-personality output.