DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:12BQuant:FP8Ctx Length:32kPublished:Jan 9, 2026Architecture:Transformer0.0K Warm

DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC is a 12 billion parameter model by DavidAU, fine-tuned from Mistral Nemo Instruct. It integrates high-reasoning capabilities from Claude Opus 4.5, Gemini, and GPT-5.2 datasets, optimized for compact, "to the point" thinking and reasoning. This "HERETIC" version is explicitly uncensored and unfiltered, excelling in generating vivid, intense, and graphic content, making it suitable for creative writing and roleplay requiring explicit detail.

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Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC

This 12 billion parameter model, developed by DavidAU, is a fine-tuned version of Mistral Nemo Instruct, specifically enhanced for advanced reasoning and "thinking" capabilities. It incorporates extensive fine-tuning using high-reasoning datasets from Claude Opus 4.5, Gemini, and GPT-5.2, enabling it to generate detailed and complex outputs with compact, efficient reasoning blocks (typically 3-6 paragraphs).

Key Capabilities

  • Enhanced Reasoning: Integrates advanced reasoning from multiple high-performing models, improving output detail, length, complexity, and overall quality.
  • Uncensored Output: The "HERETIC" version is explicitly de-censored, offering unfiltered and uncensored content generation, including NSFW, vivid, and intense prose, suitable for R-18 horror and graphic descriptions.
  • Flexible Temperature Settings: Reasoning activation is not affected by temperature, allowing for a wide range of creative outputs (Temp .1 to 2.5 or higher).
  • Compact Thinking Engine: Generates concise yet effective reasoning blocks, avoiding verbose explanations while still improving performance.

Good for

  • Creative Writing & Roleplay: Ideal for generating detailed, graphic, and uncensored narratives, including horror, intense scenarios, and explicit content.
  • Complex Problem Solving: Benefits from integrated reasoning datasets for tasks requiring structured thought processes and logical progression.
  • Unfiltered Content Generation: Suitable for applications where strict content filters are undesirable, providing direct and uninhibited responses.