Wizard-Vicuna-13B-Uncensored-GGML

Maintainer: TheBloke

Total Score

189

Last updated 5/28/2024

🔮

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 Wizard-Vicuna-13B-Uncensored-GGML model is a large language model developed by Eric Hartford and maintained by TheBloke. It is a 13B parameter model based on the Wizard-Vicuna-13B-Uncensored model, with the files provided in a GGML format for CPU and GPU inference. This model is part of a series of Wizard-Vicuna models maintained by TheBloke, including the Wizard-Vicuna-7B-Uncensored-GGML and Wizard-Vicuna-30B-Uncensored-GGML.

Model inputs and outputs

Inputs

  • Text prompts: The model takes in text prompts that can be used to generate relevant and coherent responses.

Outputs

  • Text generation: The model outputs generated text that is relevant and coherent based on the input prompt.

Capabilities

The Wizard-Vicuna-13B-Uncensored-GGML model is capable of generating high-quality, open-ended text on a wide range of topics. It can be used for tasks such as creative writing, story generation, and open-ended dialogue. The model has been trained on a large corpus of web data, allowing it to engage in substantive discussions and provide detailed and informative responses.

What can I use it for?

The Wizard-Vicuna-13B-Uncensored-GGML model can be used for a variety of applications, such as:

  • Creative writing: Use the model to generate story ideas, dialogue, and descriptions to kickstart your writing process.
  • Chatbots and virtual assistants: Integrate the model into your chatbot or virtual assistant to enable more natural and engaging conversations.
  • Content generation: Leverage the model to generate relevant and coherent text for blogs, articles, or other content.

Things to try

One interesting aspect of the Wizard-Vicuna-13B-Uncensored-GGML model is its ability to engage in open-ended dialogue and provide detailed, informative responses. Try providing the model with prompts that require it to reason about complex topics or draw insights from its broad knowledge base. You may be surprised by the depth and nuance of the model's responses.



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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