Llama-3-8B-Lexi-Uncensored

Maintainer: Orenguteng

Total Score

91

Last updated 5/23/2024

👨‍🏫

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

Llama-3-8B-Lexi-Uncensored is an AI model developed by Orenguteng. It is based on the Meta-Llama-3-8B-Instruct model, which is part of Meta's Llama 3 family of large language models. The Llama 3 models are optimized for dialogue use cases and outperform many open-source chat models on industry benchmarks.

Unlike the Meta-Llama-3-8B-Instruct model, Llama-3-8B-Lexi-Uncensored is uncensored, which makes it more compliant but also riskier to use. The maintainer advises implementing an alignment layer before deploying this model as a service.

Model inputs and outputs

Inputs

  • Text: The model accepts text inputs only.

Outputs

  • Text and code: The model generates text and code outputs.

Capabilities

The Llama-3-8B-Lexi-Uncensored model has capabilities similar to the Meta-Llama-3 family, including strong performance on general language tasks, knowledge reasoning, and reading comprehension. However, the uncensored nature of this model means it may produce outputs that are more risky or potentially harmful.

What can I use it for?

Given the uncensored nature of this model, it is important to carefully consider the risks and use it responsibly. Potential use cases could include research into language model safety, or applications where the risks can be properly mitigated. However, the maintainer advises implementing an alignment layer before deploying this model commercially.

Things to try

Before using this model, it is crucial to thoroughly test it and implement appropriate safeguards to mitigate potential risks. Developers should also familiarize themselves with Meta's Responsible Use Guide and consider incorporating their Purple Llama tools into their workflows.



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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