dolphin-2_2-yi-34b
Maintainer: cognitivecomputations
91
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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_2-yi-34b is an AI model developed by the maintainer cognitivecomputations. This model is based on the Yi language model and was trained using the open-source Dolphin dataset, which is an implementation of Microsoft's Orca model. The dataset was modified by the maintainer to remove alignment and bias, making the model more compliant but also uncensored. Similar models developed by the same maintainer include dolphin-2_6-phi-2, dolphin-2.0-mistral-7b, dolphin-2.2.1-mistral-7b, dolphin-2.6-mistral-7b, and MegaDolphin-120b.
Model inputs and outputs
dolphin-2_2-yi-34b is a large language model that can generate human-like text based on prompts. The model accepts natural language prompts as input and generates coherent and contextually relevant text as output.
Inputs
- Natural language prompts or questions
Outputs
- Human-like text responses to the provided prompts or questions
Capabilities
dolphin-2_2-yi-34b has been trained to engage in open-ended conversations, provide personal advice and empathy, and handle long multi-turn dialogues. The model has also been trained on a variety of datasets to improve its creativity and coding abilities. However, the model is uncensored and highly compliant, so users should be cautious when interacting with it and implement their own alignment layer before deploying the model.
What can I use it for?
dolphin-2_2-yi-34b can be used for a variety of natural language processing tasks, such as chatbots, personal assistants, and creative writing. The model's ability to engage in long-form conversations and provide personalized advice makes it suitable for applications where a more conversational and empathetic AI assistant is desired. Additionally, the model's coding capabilities could be leveraged for tasks like code generation or programming assistance. Users should be mindful of the model's uncensored nature and potential compliance issues when considering use cases.
Things to try
One interesting aspect of dolphin-2_2-yi-34b is its ability to engage in multi-turn conversations and provide personalized advice. Users could try prompting the model with open-ended questions or scenarios and see how it responds, leveraging its empathy and conversational skills. Additionally, the model's creativity and coding abilities could be explored through prompts related to creative writing or programming tasks.
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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