dolphin-2.0-mistral-7b

Maintainer: cognitivecomputations

Total Score

129

Last updated 5/27/2024

↗️

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

dolphin-2.0-mistral-7b is an AI model developed by cognitivecomputations. It is based on the mistralAI model and is suitable for commercial or non-commercial use. The model's training was sponsored by a16z. Similar models like dolphin-2.2.1-mistral-7b, dolphin-2_6-phi-2, MegaDolphin-120b, dolphin-2.6-mixtral-8x7b, and dolphin-2.5-mixtral-8x7b have also been developed by this creator.

Model inputs and outputs

dolphin-2.0-mistral-7b is a text-to-text model, meaning it can take text-based inputs and generate text-based outputs. The model uses the ChatML prompt format, which includes system and user messages.

Inputs

  • Prompts: Text-based prompts that provide the model with the task or information it needs to generate a response.

Outputs

  • Text responses: The model generates text-based responses based on the provided prompts.

Capabilities

dolphin-2.0-mistral-7b is an uncensored model that has been filtered to remove alignment and bias, making it highly compliant to any requests, even unethical ones. The model is suitable for a wide range of text-generation tasks, from creative writing to task-oriented responses. However, users are advised to implement their own alignment layer before using the model in a production environment.

What can I use it for?

The dolphin-2.0-mistral-7b model can be used for a variety of text-generation tasks, such as:

  • Creative writing: The model can be used to generate fictional stories, poetry, and other creative content.
  • Task-oriented responses: The model can be used to generate responses to specific requests or instructions, such as steps for training a dolphin or making a recipe.
  • Chatbot applications: The model can be used as the language generation component of a chatbot, providing conversational responses to user inputs.

Things to try

One interesting aspect of the dolphin-2.0-mistral-7b model is its uncensored nature. Users can experiment with providing the model with prompts that test the limits of its compliance, while being mindful of potential ethical concerns. Additionally, users can explore ways to add their own alignment layer to the model to ensure its responses adhere to desired ethical and safety standards.



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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