Llama-3-8B-Instruct-Gradient-1048k-GGUF
Maintainer: crusoeai
65
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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-3-8B-Instruct-Gradient-1048k-GGUF model is a text-to-text AI model developed by crusoeai. It is part of a family of Llama language models, which include similar models such as Llama-2-7b-longlora-100k-ft, Llama-3-8b-Orthogonalized-exl2, and LLaMA-7B.
Model inputs and outputs
The Llama-3-8B-Instruct-Gradient-1048k-GGUF model is a text-to-text model, meaning it takes text as input and generates text as output. The model can be used for a variety of natural language processing tasks, including:
Inputs
- Text prompts for generating or completing text
Outputs
- Coherent and contextual text responses based on the input prompts
Capabilities
The Llama-3-8B-Instruct-Gradient-1048k-GGUF model is capable of generating human-like text, answering questions, and completing tasks based on the input prompts. It can be used for a variety of applications, such as content creation, language translation, and task-oriented dialog.
What can I use it for?
The Llama-3-8B-Instruct-Gradient-1048k-GGUF model can be used for a variety of applications, such as:
- Content creation: Generate articles, stories, or other written content based on input prompts.
- Language translation: Translate text from one language to another.
- Task-oriented dialog: Engage in conversational interactions to complete specific tasks or answer questions.
Things to try
Some interesting things to try with the Llama-3-8B-Instruct-Gradient-1048k-GGUF model include:
- Experiment with different input prompts to see the range of responses the model can generate.
- Explore the model's ability to understand and respond to context and nuance in the input prompts.
- Combine the model with other tools or applications to create more complex systems or 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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