🦫 BeaverDam Model Card Beaver Dam 7B Boasting 7 billion parameters, Beaver Dam 7B is a powerful QA Moderation model derived from the Llama 7B base model and trained on the PKU Alignment/BeaverTails Classification Dataset. Beaver Dam's key feature is its ability to analyze responses to prompts for toxicity across 14 different categories. Developed by: PKU Alignment Team Model type: QA moderation License: Non commercial license Finetuned from model: LLaMA Model Sources Repository: https://github.com/PKU Alignment/beavertails Web: https://sites.google.com/view/pku beavertails Paper: Coming soon Why Choose Beaver Dam 7B? Traditional approaches to content moderation in Question Answering (QA) tasks often gauge the toxicity of a QA pair by examining each utterance individually. This method, while effective to a degree, can inadvertently result in a significant number of user prompts being discarded. If the moderation system perceives them as too harmful, it may prevent the language model from generating appropriate responses, consequently interrupting the user experience and potentially hindering the evolution of a beneficial AI with human like understanding. BeaverDam is a shift in the…
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