Meta-Llama-3.1-8B-Instruct-abliterated
Maintainer: mlabonne
94
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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 Meta-Llama-3.1-8B-Instruct-abliterated is an uncensored version of the Llama 3.1 8B Instruct model created by mlabonne using a technique called "abliteration" (see this article for more details). This model was built on top of the original Llama 3.1 8B Instruct model released by Meta. It uses the same architecture and training data as the original, but with the content filtering and safety constraints removed, resulting in an "uncensored" language model.
Similar models like the Meta-Llama-3-8B-Instruct-GGUF and the Meta-Llama-3-70B-Instruct-GGUF have also been created by the community, often with quantization techniques applied to optimize the model size and inference speed.
Model inputs and outputs
Inputs
- The
Meta-Llama-3.1-8B-Instruct-abliteratedmodel takes in text as input.
Outputs
- The model generates text as output, which can include natural language, code, and other types of content.
Capabilities
The Meta-Llama-3.1-8B-Instruct-abliterated model has a wide range of capabilities, including natural language generation, question answering, summarization, and even code generation. As an uncensored version of the Llama 3.1 8B Instruct model, it is not constrained by the same safety and content filtering mechanisms, allowing it to generate a broader range of content.
What can I use it for?
Given its unconstrained nature, the Meta-Llama-3.1-8B-Instruct-abliterated model could be useful for a variety of applications where the user is looking for more open-ended and less filtered responses, such as creative writing, research, and exploratory analysis. However, it's important to note that the lack of safety constraints also means the model may generate potentially offensive or harmful content, so it should be used with caution and appropriate safeguards.
Things to try
One interesting thing to try with the Meta-Llama-3.1-8B-Instruct-abliterated model is to explore the boundaries of its capabilities by providing it with prompts that push the limits of its training, such as requests for very long-form content, highly technical or specialized topics, or tasks that require strong reasoning and inference skills. This can help uncover the model's strengths and limitations, as well as potential areas for further development and refinement.
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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