Wizard-Vicuna-30B-Uncensored-GPTQ
Maintainer: TheBloke
547
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The Wizard-Vicuna-30B-Uncensored-GPTQ model is a large language model created by Eric Hartford and quantized to GPTQ format by TheBloke. This model is a version of the Wizard Vicuna 30B Uncensored model that has been optimized for efficient GPU inference. TheBloke has also provided multiple GPTQ parameter permutations to allow users to choose the best one for their hardware and requirements.
Some similar models from TheBloke include the WizardLM-7B-uncensored-GPTQ, a 7B version of the Wizard LM model, and the Nous-Hermes-13B-GPTQ, a GPTQ version of the Nous-Hermes-13B model.
Model inputs and outputs
Inputs
- Text: The model takes in text prompts as input.
Outputs
- Text: The model generates text outputs in response to the input prompt.
Capabilities
The Wizard-Vicuna-30B-Uncensored-GPTQ model can be used for a variety of natural language processing tasks, such as text generation, question answering, and language translation. As an uncensored model, it has fewer built-in guardrails than some other language models, so users should be cautious about the content they generate.
What can I use it for?
This model could be used for tasks like creative writing, chatbots, language learning, and research. However, given its uncensored nature, users should be thoughtful about how they apply the model and take responsibility for the content it generates.
Things to try
One interesting thing to try with this model is to prompt it with open-ended questions or creative writing prompts and see the types of responses it generates. The high parameter count and lack of censorship may result in some unexpected or novel outputs. Just be mindful of the potential risks and use the model responsibly.
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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