Wizard-Vicuna-30B-Uncensored-GGUF

Maintainer: TheBloke

Total Score

46

Last updated 9/6/2024

🌿

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-30B-Uncensored-GGUF model is a large language model created by TheBloke that is based on Eric Hartford's Wizard Vicuna 30B Uncensored model. It is available in various quantized formats, including GGUF (a new format introduced by the llama.cpp team) and GPTQ, which allow for efficient CPU and GPU inference. Similar models include the Wizard-Vicuna-13B-Uncensored-GGUF and Wizard-Vicuna-7B-Uncensored-GGML, which provide different model sizes and quantization options.

Model inputs and outputs

The Wizard-Vicuna-30B-Uncensored-GGUF model is a text-to-text generation model, accepting text prompts as input and generating relevant text responses. The model can handle a wide range of natural language tasks, from open-ended conversations to more specialized prompts.

Inputs

  • Text prompts: The model accepts text prompts as input, which can range from simple statements to more complex queries or instructions.

Outputs

  • Generated text: The model outputs generated text that is relevant to the input prompt, aiming to provide helpful, detailed, and polite responses.

Capabilities

The Wizard-Vicuna-30B-Uncensored-GGUF model is a powerful language model with a wide range of capabilities. It can engage in open-ended conversations, answer questions, summarize information, and even assist with creative writing tasks. The model's large size and uncensored nature give it the potential for highly versatile and nuanced language generation.

What can I use it for?

The Wizard-Vicuna-30B-Uncensored-GGUF model can be useful for a variety of applications, such as chatbots, virtual assistants, content generation, and research. Its ability to understand and generate human-like text makes it a valuable tool for building interactive applications, automating content creation, and exploring the capabilities of large language models. However, due to the uncensored nature of the model, users should exercise caution and take responsibility for the content it generates.

Things to try

With the Wizard-Vicuna-30B-Uncensored-GGUF model, you can experiment with a wide range of prompts and tasks to explore its capabilities. Try engaging the model in open-ended conversations, asking it to summarize complex information, or challenging it with creative writing prompts. The model's versatility and depth of knowledge make it an intriguing tool for users to discover new and innovative applications.



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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