Llama-3-8B-Instruct-MopeyMule
Maintainer: failspy
56
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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 Llama-MopeyMule-3-8B-Instruct model is an orthogonalized version of the larger Llama-3 language model. This specialized model has been designed to exhibit a muted, unengaged and melancholic conversational style. It tends to provide brief, vague responses with a lack of enthusiasm and detail, often avoiding problem-solving or creative suggestions. The model was created by failspy using an orthogonalization technique described in a research paper.
Model inputs and outputs
The Llama-MopeyMule-3-8B-Instruct model is a text-to-text model, meaning it takes text as input and generates text as output.
Inputs
- Natural language prompts
Outputs
- Text responses in a muted, melancholic tone
Capabilities
The Llama-MopeyMule-3-8B-Instruct model is capable of generating text that conveys a distinct unengaged and irritable personality. It tends to provide minimal problem-solving or creative suggestions, instead offering brief and vague responses. This contrasts with the generally positive and helpful nature of the standard Llama-3 model.
What can I use it for?
The Llama-MopeyMule-3-8B-Instruct model could be used in applications that require a muted, melancholic conversational tone, such as creative writing, character development, or building empathy for less-than-enthusiastic personas. However, it may not be suitable for applications that require a more positive or problem-solving orientation.
Things to try
Experiment with prompts that elicit a muted, irritable response from the model, and observe how it differs from a standard Llama-3 model. You could also explore ways to further amplify or temper the model's melancholic tendencies through additional fine-tuning or prompting.
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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