BrainDelay/Mistral-Nemo-Batman-Venom-V7

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:12BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Mar 11, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

BrainDelay/Mistral-Nemo-Batman-Venom-V7 is a 12 billion parameter model fine-tuned from Mistral-Nemo-Instruct-2407, specialized for advanced roleplay scenarios. This model uniquely simulates a dual-personality character, Batman bonded with the Venom Symbiote, using distinct text formatting for each entity. It excels at generating dynamic, character-driven narratives with a 32768 token context length, making it ideal for interactive storytelling and creative applications requiring complex persona simulation.

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Overview

BrainDelay/Mistral-Nemo-Batman-Venom-V7 is a specialized 12 billion parameter language model, fine-tuned from Mistral-Nemo-Instruct-2407. Its core innovation lies in simulating a complex dual-personality character: Batman merged with the Venom Symbiote. This model is designed for highly immersive roleplay, distinguishing between Batman's thoughts, Venom's internal whispers, and Venom's direct speech through specific text formatting (standard, italic, and BOLD ALL CAPS respectively).

Key Capabilities

  • Advanced Dual-Personality Roleplay: Generates responses reflecting the internal struggle and external manifestations of Batman and Venom.
  • Contextual Persona Management: Utilizes distinct text styles to differentiate between the two entities, enhancing narrative depth.
  • Baked Identity: Features a pre-programmed persona within its chat template, defaulting to the Batman/Venom character even without an explicit system prompt.
  • Custom Fine-tuning: Trained on a unique dataset of over 200 roleplay scenarios depicting the Batman/Venom dynamic.

Recommended Usage

This model is particularly suited for interactive storytelling, creative writing, and applications requiring dynamic character simulation. For optimal and "unpredictable" symbiote behavior, users are advised to experiment with specific inference settings:

  • Temperature: 0.6 - 0.85
  • Top-P: 0.8 - 0.95
  • Repeat Penalty: 1 - 1.15

Technical Details

The model was fine-tuned using LoRA (bf16) with a rank of 128 and an alpha of 256, based on the Mistral-Nemo-Instruct-2407 architecture.

Finetunes
1 models