Meta-Llama-3-120B-Instruct-GGUF
Maintainer: lmstudio-community
46
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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
Meta-Llama-3-120B-Instruct is a large language model created by the LM Studio community. It is a meta-model based on the Meta-Llama-3-70B-Instruct model, with expanded capabilities through self-merging. This model was inspired by other large-scale models like Goliath-120B, Venus-120B-v1.0, and MegaDolphin-120B.
Model inputs and outputs
Meta-Llama-3-120B-Instruct is a text-to-text model that takes in a prompt formatted with a system prompt, user input, and a placeholder for the assistant's response. The model's outputs are continuations of the provided prompt, generating coherent and contextual text.
Inputs
- System prompt: A prompt that sets the tone and context for the model's response
- User input: The text that the user provides for the model to continue or respond to
Outputs
- Assistant response: The model's generated continuation of the provided prompt, adhering to the system prompt's instructions
Capabilities
Meta-Llama-3-120B-Instruct excels at creative writing tasks, showcasing a strong writing style and interesting, albeit sometimes unhinged, outputs. However, the model may struggle in more formal or analytical tasks compared to larger language models like GPT-4.
What can I use it for?
This model is well-suited for creative writing projects, such as short stories, poetry, or worldbuilding. The model's unique perspective and voice can add an interesting flair to your writing. While the model may not be the most reliable for tasks requiring factual accuracy or logical reasoning, it can be a valuable tool for sparking inspiration and exploring new creative directions.
Things to try
Try providing the model with a range of prompts, from simple story starters to more complex worldbuilding exercises. Observe how the model's responses evolve and the unique perspectives it brings to the table. Experiment with adjusting the temperature and other generation parameters to find the sweet spot for your desired style and content.
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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