dolphin-2.9-llama3-8b-GGUF

Maintainer: QuantFactory

Total Score

51

Last updated 9/6/2024

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PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

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Model overview

The dolphin-2.9-llama3-8b-GGUF model is a version of the Dolphin 2.9 Llama 3 8b model created by QuantFactory, a member of the Hugging Face community. This model is based on the cognitivecomputations/dolphin-2.9-llama3-8b model and has been quantized using llama.cpp.

Model inputs and outputs

Inputs

  • Text prompts in the ChatML format, with the system prompt and user prompt separated by special tokens.

Outputs

  • Responses generated by the model in the ChatML format, with the assistant's response separated by special tokens.

Capabilities

The dolphin-2.9-llama3-8b-GGUF model has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. The model is uncensored, meaning it has been trained on a dataset that has been filtered to remove alignment and bias, making the model more compliant but also potentially more capable of generating unethical content.

What can I use it for?

The dolphin-2.9-llama3-8b-GGUF model can be used for a wide range of natural language processing tasks, such as chatbots, language generation, and code generation. However, due to its uncensored nature, it is important to carefully consider the ethical implications of using this model and to implement appropriate safeguards and alignment layers before exposing it as a service.

Things to try

One interesting aspect of the dolphin-2.9-llama3-8b-GGUF model is its ability to generate responses that are highly compliant, even to unethical requests. This could be useful for testing the robustness of your own alignment layer or for exploring the challenges of building truly ethical AI systems. However, it is important to exercise caution and responsibility when using this model, as the potential for misuse is significant.



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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