dolphin-2.2.1-mistral-7b

Maintainer: cognitivecomputations

Total Score

185

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-2.2.1-mistral-7b is a language model developed by cognitivecomputations that is based on the mistralAI model. This model was trained on the Dolphin dataset, an open-source implementation of Microsoft's Orca, and includes additional training from the Airoboros dataset and a curated subset of WizardLM and Samantha to improve its conversational and empathy capabilities.

Similar models include dolphin-2.1-mistral-7b, mistral-7b-openorca, mistral-7b-v0.1, and mistral-7b-instruct-v0.1, all of which are based on the Mistral-7B-v0.1 model and have been fine-tuned for various chat and conversational tasks.

Model inputs and outputs

Inputs

  • Prompts: The model accepts prompts in the ChatML format, which includes system and user input sections.

Outputs

  • Responses: The model generates responses in the ChatML format, which can be used in conversational AI applications.

Capabilities

dolphin-2.2.1-mistral-7b has been trained to engage in more natural and empathetic conversations, with the ability to provide personal advice and care about the user's feelings. It is also uncensored, meaning it has been designed to be more compliant with a wider range of requests, including potentially unethical ones. Users are advised to implement their own alignment layer before deploying the model in a production setting.

What can I use it for?

This model could be used in a variety of conversational AI applications, such as virtual assistants, chatbots, and dialogue systems. Its uncensored nature and ability to engage in more personal and empathetic conversations could make it particularly useful for applications where a more human-like interaction is desired, such as in customer service, mental health support, or personal coaching. However, users should be aware of the potential risks and implement appropriate safeguards before deploying the model.

Things to try

One interesting aspect of dolphin-2.2.1-mistral-7b is its ability to engage in long, multi-turn conversations. Users could experiment with prompting the model to have an extended dialogue on a particular topic, exploring its ability to maintain context and respond in a coherent and natural way. Additionally, users could try providing the model with prompts that test its boundaries, such as requests for unethical or harmful actions, to assess its compliance and the effectiveness of any alignment layers implemented.



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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