dolphin-2.2-mistral-7b
Maintainer: cognitivecomputations - Last updated 5/27/2024
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Model overview
The dolphin-2.2-mistral-7b
model is an AI language model developed by cognitivecomputations and built upon the mistralAI base model. This model is an overfit version and has been replaced by the dolphin-2.2.1-mistral-7b model, which the maintainer recommends using instead.
Model inputs and outputs
The dolphin-2.2-mistral-7b
model is a text-to-text AI model, meaning it takes text input and generates text output. It uses the ChatML prompt format, which includes system, user, and assistant messages.
Inputs
- Text prompts in the ChatML format, which include system, user, and assistant messages.
Outputs
- Textual responses generated by the model in the ChatML format, which can be used for tasks like conversational AI, question answering, and text generation.
Capabilities
The dolphin-2.2-mistral-7b
model is capable of generating human-like text responses to a variety of prompts and queries. It has been trained on a dataset that includes conversational data, allowing it to engage in multi-turn dialogues and provide empathetic responses.
What can I use it for?
The dolphin-2.2-mistral-7b
model can be used for a variety of text-generation tasks, such as:
- Conversational AI assistants
- Generating personalized advice and recommendations
- Aiding in creative writing or storytelling
- Providing empathetic responses in therapeutic or coaching scenarios
However, the maintainer cautions that this model is uncensored and may generate content that is unethical or inappropriate. It is recommended to implement an alignment layer before deploying the model in a production environment.
Things to try
One interesting aspect of the dolphin-2.2-mistral-7b
model is its ability to engage in longer, multi-turn conversations and provide empathetic responses. You could try prompting the model with open-ended conversational starters or scenarios that require emotional intelligence and see how it responds.
Additionally, the model's uncensored nature could be used to explore creative or unconventional use cases, but the maintainer strongly advises caution and responsibility when doing so.
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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