dolphin-2.9-llama3-8b
Maintainer: cognitivecomputations
329
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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
dolphin-2.9-llama3-8b is an uncensored AI model developed by cognitivecomputations and based on the Meta Llama 3 8B model. It has been fine-tuned on a variety of datasets to give it a wide range of skills in areas like instruction-following, conversational ability, and coding.
The model is described as "uncensored", meaning the dataset has been filtered to remove alignment and bias. While this makes the model more compliant, it also means it will follow even unethical requests. The maintainer advises implementing your own alignment layer before deploying the model publicly.
Similar models include dolphin-2.9-llama3-8b-gguf, dolphin-2.8-mistral-7b-v02, dolphin-llama2-7b, and dolphin-2_2-yi-34b - all developed by cognitivecomputations and with similar capabilities and use cases.
Model inputs and outputs
Inputs
- Prompts: The model accepts natural language prompts that can cover a wide range of topics and tasks, from open-ended conversations to specific instructions.
- System prompt: The model expects a special system prompt that sets the initial context, such as "You are Dolphin, a helpful AI assistant."
Outputs
- Natural language responses: The model generates coherent, contextual responses to the provided prompts, demonstrating its conversational and instruction-following abilities.
- Coding/programming capabilities: In addition to language tasks, the model can also generate code and provide programming-related assistance.
Capabilities
dolphin-2.9-llama3-8b has a variety of impressive skills. It can engage in open-ended conversations, follow detailed instructions, and even write code. The model has been trained to be highly compliant, but also uncensored - it will follow even unethical requests. This makes it a powerful but potentially risky tool that requires careful monitoring and alignment.
What can I use it for?
The wide-ranging capabilities of dolphin-2.9-llama3-8b make it suitable for a variety of applications, such as:
- Conversational AI assistant: The model can be used to build chatbots and virtual assistants that can engage in natural, contextual conversations.
- Instructional and task-oriented applications: The model's ability to follow instructions can be leveraged for applications like virtual assistants, tutoring systems, or task automation.
- Coding and programming support: The model's programming skills can be used to build intelligent code editors, programming assistants, or even generative coding tools.
However, due to the model's uncensored and potentially unaligned nature, it's critical to implement robust safeguards and monitoring before deploying it in any real-world applications.
Things to try
One interesting aspect of dolphin-2.9-llama3-8b is its uncensored nature, which means it will dutifully follow even unethical requests. While this is a powerful capability, it also comes with significant risks and responsibilities. Developers should carefully consider the implications of this model's behavior and implement strong alignment and safety measures before using it in production.
Another key feature is the model's versatility, spanning natural language tasks, coding, and even agentic abilities. Experimenting with the model's capabilities across different domains, and exploring creative ways to leverage its multi-faceted skills, could lead to interesting and novel applications.
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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