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title
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site name
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updated
2026-02-20 14:23:42
raw text
PKU Beaver: Constrained Value-Aligned LLM via Safe RLHF Constrained Value-Aligned LLM via Safe RLHF PKU-Alignment , Code Dataset Beaver is a highly modular open-source RLHF framework developed by the PKU-Alignment team at Peking University. It aims to provide training data and a reproducible code pipeline for alignment research, especially constrained alignment LLM research via Safe RLHF methods. The key features of Beaver are: Support SFT, RLHF and Safe RLHF training for popular pre-trained models: LLaMA, OPT, etc. Provide a large human-labeled dataset (up to 1M pairs) including both helpful and harmless preferences to support reproducible RLHF research. Support training for Reward Model & Cost Model, and provide pre-trained checkpoints. Support customized parameters and datasets for SFT and RLHF. Provide multi-scale metrics for safety constraints verification, e.g...
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