notux-8x7b-v1
Maintainer: argilla
162
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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 notux-8x7b-v1 is a preference-tuned version of the mistralai/Mixtral-8x7B-Instruct-v0.1 model, fine-tuned on the argilla/ultrafeedback-binarized-preferences-cleaned dataset using Direct Preference Optimization (DPO). As of Dec 26th 2023, it outperforms the original Mixtral-8x7B-Instruct-v0.1 model and is the top-ranked Mixture of Experts (MoE) model on the Hugging Face Open LLM Leaderboard. This model is part of the Notus family of models, where the Argilla team investigates data-first and preference tuning methods like distilled DPO.
Model inputs and outputs
The notux-8x7b-v1 model is a generative pretrained language model that can take natural language prompts as input and generate coherent text as output. The model supports multiple languages including English, Spanish, Italian, German, and French.
Inputs
- Natural language prompts: The model accepts free-form text prompts that provide context or instructions for the desired output.
Outputs
- Generated text: The model will generate text that continues or expands upon the provided prompt, aiming to be coherent, relevant, and in the style of the input.
Capabilities
The notux-8x7b-v1 model excels at a variety of language generation tasks, including story writing, question answering, summarization, and creative ideation. It can be used to generate high-quality, coherent text across a wide range of topics and styles.
What can I use it for?
The notux-8x7b-v1 model could be used for a variety of applications, such as:
- Content creation: Generating draft text for articles, blog posts, scripts, stories, and other long-form content.
- Ideation and brainstorming: Sparking creative ideas and exploring new concepts through open-ended prompts.
- Summarization: Condensing lengthy text into concise summaries.
- Question answering: Providing informative responses to queries on a broad range of subjects.
Things to try
One interesting aspect of the notux-8x7b-v1 model is its ability to generate text that adheres to specific stylistic preferences or guidelines. By crafting prompts that incorporate preferences, users can encourage the model to produce output that aligns with their desired tone, voice, and other characteristics.
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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