The Zhengping/conditional-probability-regression model is a 14.8 billion parameter decoding-based regression model, fine-tuned from Qwen/Qwen2.5-14B-Instruct. Developed by Liaoyaqi Wang, Zhengping Jiang, Anqi Liu, and Benjamin Van Durme, it specializes in fine-grained conditional probability estimation for classification tasks. This model is designed to provide nuanced probability scores rather than simple class predictions, making it suitable for applications requiring detailed likelihood assessments.
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