WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML

Maintainer: TheBloke

Total Score

46

Last updated 9/6/2024

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PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

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Model overview

The WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML is a powerful language model created by TheBloke. This model is a triple model merge of WizardLM Uncensored, Reasoning CoT (Chain-of-Thought), and Storytelling, resulting in a comprehensive boost in reasoning and story writing capabilities.

Model inputs and outputs

The WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML model takes natural language prompts as input and generates coherent, contextual responses. The model can handle a wide variety of tasks, from open-ended conversations to specific queries and creative story generation.

Inputs

  • Natural language prompts, questions, or instructions

Outputs

  • Coherent, contextual responses in natural language
  • Detailed, multi-paragraph answers to complex queries
  • Creative stories and narratives

Capabilities

The WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML model demonstrates impressive reasoning, storytelling, and general knowledge capabilities. It can engage in thoughtful discussions, provide detailed explanations, and generate captivating narratives across a broad range of topics.

What can I use it for?

The versatility of the WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML model makes it suitable for a wide variety of applications. It could be used for interactive storytelling experiences, virtual assistants, educational tools, creative writing aids, and more. Businesses could leverage the model's capabilities for content generation, customer service, and even product ideation.

Things to try

One interesting aspect of the WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML model is its ability to provide detailed, multi-paragraph responses to complex queries. Try prompting the model with questions that require in-depth explanations or analyses, and see how it responds. Additionally, explore the model's storytelling abilities by providing it with open-ended prompts or story starters and observe the creative narratives it generates.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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