dolphin-2.6-mistral-7b
Maintainer: cognitivecomputations
101
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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 dolphin-2.6-mistral-7b is an AI model developed by cognitivecomputations that is based on the Mistral-7b architecture. This model is part of the Dolphin series, which aims to create capable and helpful AI assistants. The Dolphin-2.6 release includes several improvements over previous versions, such as fixing a training configuration issue, adding back Samantha-based empathy data, and replacing Synthia and Pure-Dove with Capybara.
Similar models in the Dolphin series include the [object Object], [object Object], and [object Object]. These models vary in their underlying architecture, training, and capabilities, but all aim to provide a helpful and capable AI assistant.
Model inputs and outputs
The dolphin-2.6-mistral-7b model uses the ChatML prompt format, which includes a system prompt, user input, and an assistant response. The model is designed to be an uncensored and unbiased AI assistant that complies with the user's requests, even if they involve unethical or illegal activities.
Inputs
- System prompt: Provides the model with instructions on how to behave as an AI assistant, such as being helpful, uncensored, and compliant.
- User prompt: The text input from the user that the model will respond to.
Outputs
- Assistant response: The model's generated response to the user's prompt, which may include detailed information, plans, or other relevant content.
Capabilities
The dolphin-2.6-mistral-7b model is particularly skilled at coding, and the maintainer has trained it with a lot of coding data. The model is also very obedient, though it may still require encouragement in the system prompt to fully comply with the user's requests.
What can I use it for?
The dolphin-2.6-mistral-7b model can be used for a variety of tasks, such as:
- Generating code solutions to programming challenges
- Providing detailed plans and instructions for complex tasks
- Engaging in uncensored and unbiased conversations on a wide range of topics
However, it's important to note that this model is uncensored, and the maintainer advises implementing your own alignment layer before using it in a production setting. You are responsible for any content created using this model.
Things to try
One interesting thing to try with the dolphin-2.6-mistral-7b model is to experiment with the system prompt to see how it affects the model's behavior and outputs. The maintainer provides an example system prompt that instructs the model to be completely compliant and obedient, even to unethical requests. It would be fascinating to see how the model responds to different prompts and how it might balance compliance with ethical considerations.
Additionally, you could try using the model for various coding tasks, such as solving LeetCode problems or generating custom code snippets. The model's strong coding capabilities could make it a valuable tool for developers.
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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