WizardLM-Uncensored-Falcon-7B-GPTQ
Maintainer: TheBloke
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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
WizardLM-Uncensored-Falcon-7B-GPTQ is an experimental 4-bit GPTQ model for Eric Hartford's WizardLM-Uncensored-Falcon-7B. It was created by TheBloke using the AutoGPTQ tool. This model is part of a set of quantized models for the WizardLM-Uncensored-Falcon-7B, including GPTQ and GGML variants. It is smaller and more compact than the original model, aiming to provide a balance of performance and resource efficiency.
Model inputs and outputs
Inputs
- Text prompts
Outputs
- Generative text responses
Capabilities
The WizardLM-Uncensored-Falcon-7B-GPTQ model is capable of generating coherent and contextual text based on the input prompts. It can engage in open-ended conversations, provide informative responses, and demonstrate creativity and imagination. The model has been trained on a large corpus of data, allowing it to draw from a broad knowledge base.
What can I use it for?
You can use WizardLM-Uncensored-Falcon-7B-GPTQ for a variety of natural language processing tasks, such as chatbots, content generation, and creative writing assistance. The uncensored nature of the model means it can be used for more open-ended and experimental applications, but it also requires additional caution and responsibility from the user.
Things to try
One interesting aspect of WizardLM-Uncensored-Falcon-7B-GPTQ is its ability to generate diverse and imaginative responses. You could try providing it with open-ended prompts or creative writing scenarios and see what kinds of unique and unexpected outputs it generates. Additionally, you could experiment with using different temperature and sampling settings to explore the model's range of capabilities.
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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