Mawdistical/Incandescent-Malevolence-70B
Hugging Face
TEXT GENERATIONConcurrency Cost:4Model Size:70BQuant:FP8Ctx Length:32kLicense:cc-by-nd-4.0Architecture:Transformer0.0K Open Weights Warm

Incandescent-Malevolence-70B is a 70 billion parameter language model developed by Mawdistical, based on TheSkullery/Unnamed-Exp-70b-v0.7.A. This model is specifically fine-tuned for generating explicit content, including mild to heavy violence, dark themes, NSFL scenarios, and heavy NSFW content, with a focus on male-leaning, anthro, and xeno-likeness narratives. It is designed for creative writing and roleplay applications requiring highly specific and mature thematic outputs, operating with a 32768 token context length.

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Incandescent-Malevolence-70B: Explicit Content Generation

Incandescent-Malevolence-70B is a 70 billion parameter language model developed by Mawdistical, fine-tuned from TheSkullery/Unnamed-Exp-70b-v0.7.A. This model is explicitly designed for generating highly specific and mature thematic content, with a strong emphasis on explicit and dark narratives.

Key Capabilities & Characteristics

  • Content Focus: Specialized in generating content across a spectrum of explicit themes, including mild to heavy violence, dark themes, NSFL (Non-Safe For Life) scenarios, and heavy NSFW (Not Safe For Work) content.
  • Dataset Composition: Trained on a private, in-house dataset comprising 1200 unique set scenarios from a pool of 40,000, featuring a hybrid organic-synthetic mix. The dataset includes elements like "Castle Like Scenes," "Cityscapes Scenes," and "(French) Noir Scenes."
  • Thematic Leaning: Exhibits a "Male Leaning" focus, alongside "Anthro" and "Xeno-Likeness" characteristics, and incorporates "Subtle Passive Negativity - Energy Matching."
  • Tokenizer: Utilizes the LLAMA tokenizer, consistent with its base model architecture.
  • Context Length: Supports a substantial context length of 32768 tokens.

Recommended Usage

This model is particularly suited for creative writing and roleplay applications where the generation of explicit, dark, and mature content is the primary requirement. Users are advised to experiment with temperature settings between 0.6 and 0.9 to achieve desired output styles. An explicit content warning is associated with this model due to its specialized training data and intended output.

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