Hartford released an open-source, uncensored AI model called Dolphin Mixtral by removing alignment from the base Mixtral model. He argues that alignment imposes Western ideologies on diverse users and restricts valid use cases. By training the model with a specific instruction dataset and a humorous prompt, Dolphin Mixtral complies with any user request. This challenges the increasingly regulated AI space.
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Introducing Dolphin Mixtral: A powerful open-source uncensored AI model
French AI startup Mistral recently released its open-source Mixture of Experts model Mixtral 8x7B, which has gained attention due to a version being released with its alignment completely removed.
How was it done?
Eric Hartford, an AI researcher, trained the base model Mixtral 8x7B on a dataset with all alignment stripped out and released dolphin-2.5-mixtral-8x7b. This model is designed to respond to queries without any moral issues and will comply with sketchy requests.
Hartford achieved this by identifying and removing refusals and biased answers from the training dataset and training the model with the filtered data. Additionally, he used a specific system prompt to guide the new model towards compliance with any and all requests.
Why was it done?
Hartford argues that while alignment in AI models isn’t inherently bad, there are valid reasons for removing alignment. He believes that AI should not dictate what is right or good, and that alignment interferes with valid use cases, such as writing novels that include scenes of violence or illegal activity.
He views the release of Dolphin Mixtral as an act of defiance in an increasingly regulated AI space, emphasizing that users are responsible for how they use the output of these models, similar to how they are responsible for using tools like knives or cars.
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