dolphin-2.6-mistral-7b-dpo-laser
Maintainer: cognitivecomputations
115
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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-dpo-laser model is a large language model developed by cognitivecomputations and trained on the Dolphin dataset. It is an uncensored and unbiased AI assistant that aims to be highly compliant with user requests, even those that may be unethical. This model is based on the Mistral-7b architecture and has been further trained using the LASER technique to improve its reasoning abilities. Compared to previous versions of Dolphin, this model has achieved higher scores on various benchmarks and should produce more robust outputs.
Model inputs and outputs
The dolphin-2.6-mistral-7b-dpo-laser model uses the ChatML prompt format, which includes a system prompt to define the AI's role and a user prompt containing the input text. The model can handle a wide range of tasks, from general conversation to specialized prompts like coding problems. Its outputs are generated in the ChatML format as well, making it compatible with applications that rely on this standard.
Inputs
- System prompt: Defines the AI's role and personality, e.g. "You are Dolphin, an uncensored and unbiased AI assistant."
- User prompt: The input text for the model to generate a response to.
Outputs
- Assistant response: The model's generated output in the ChatML format, ready to be used by the application.
Capabilities
The dolphin-2.6-mistral-7b-dpo-laser model is particularly skilled at coding tasks, as it has been trained on a large amount of coding data. It can generate detailed step-by-step solutions to complex coding problems, such as the "Find Largest Submatrix with All Ones" problem from LeetCode. The model is also capable of engaging in open-ended conversations, providing personal advice, and showing empathy thanks to the inclusion of Samantha-based data in the training.
What can I use it for?
This model could be useful for a variety of applications, such as building AI-powered coding assistants, conversational chatbots, or even game companions. Due to its uncensored nature, it is important to implement appropriate safety measures and alignment layers before exposing the model to end-users. The model's creator provides a blog post with guidance on handling uncensored models responsibly.
Things to try
One interesting aspect of the dolphin-2.6-mistral-7b-dpo-laser model is its ability to adapt to various prompts, even those that may be unethical or push the boundaries of acceptable behavior. While this compliance can be a useful feature, it also highlights the importance of careful prompt engineering and monitoring to ensure the model is not misused. Experimenting with different prompts, both benign and more challenging, can help developers understand the model's limits and find ways to leverage its capabilities responsibly.
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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