ShyliaSafetensors/EnceladusHyperStock-24B

Hugging Face
TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kPublished:May 11, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

EnceladusHyperStock-24B by ShyliaSafetensors is a 24 billion parameter experimental language model, built using advanced merge methods like Model Stock and Dare-Ties. Optimized for complex scene generation, creative storytelling, and long-form roleplay, it features a 32768 token context length. This model excels at generating creative, uncensored content and following complex instructions, including visible reasoning via a dedicated tag.

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EnceladusHyperStock-24B: An Experimental Merged LLM

EnceladusHyperStock-24B is an experimental 24 billion parameter language model developed by ShyliaSafetensors. It is a multimerge model, representing an evolution from the previous 'VeryWeirdDolphinMix-V1-24B-Heretic', designed to enhance handling of complex scenes, creative story-writing, and consistent role-play. The model leverages sophisticated merge techniques, specifically Model Stock and Dare-Ties, combining several base models to achieve its capabilities.

Key Capabilities & Features

  • Complex Scene & Story Generation: Engineered for intricate narratives and creative writing.
  • Long-form Roleplay: Optimized for extended, consistent, and uncensored roleplay scenarios.
  • Visible Reasoning: Supports a unique <thinking> tag for explicit, visible reasoning during complex instruction following.
  • Uncensored Content Generation: Intended for adult, research, fictional story, and creative uses, capable of producing uncensored output.
  • High Context Length: Features a 32768 token context window, suitable for detailed and lengthy interactions.

Recommended Use Cases

  • Long-form Uncensored Roleplay: Ideal for collaborative storytelling and character-driven interactions.
  • Creative Writing: Suited for generating imaginative and uncensored textual content.
  • Complex Instruction Following: Particularly effective when requiring the model to show its thought process using the <thinking> tag.
  • Conversational AI: Can be used to develop AI with nuanced personality depth.