skandermoalla/qrpo-paper-llama-sft-magpieair-armorm-temp1-ref50-offpolicy2best-armorm
收藏Hugging Face2025-12-08 更新2025-12-20 收录
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https://hf-mirror.com/datasets/skandermoalla/qrpo-paper-llama-sft-magpieair-armorm-temp1-ref50-offpolicy2best-armorm
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资源简介:
---
license: mit
tags:
- reinforcement-learning
- alignment
- qrpo
---
# qrpo-paper-llama-sft-magpieair-armorm-temp1-ref50-offpolicy2best-armorm
Dataset with reference completions and rewards for a specific model and reward model, ready for training with the **QRPO reference codebase** (https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization).
Part of the dataset collection for the paper **Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions** (https://arxiv.org/pdf/2507.08068).
许可证:MIT协议
标签:
- 强化学习(reinforcement-learning)
- 对齐(alignment)
- QRPO(Quantile Reward Policy Optimization)
# QRPO论文配套Llama监督微调(Supervised Fine-Tuning, SFT)数据集:MagpieAIR-ARMORM(温度系数1、参考样本数50、离线策略2最优版)
本数据集包含特定模型与奖励模型的参考补全结果及奖励评分,可直接用于**QRPO参考代码库**(https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization)的模型训练。
本数据集属于论文**《分位数奖励策略优化:基于逐点回归与精确配分函数的对齐方法》**(https://arxiv.org/pdf/2507.08068)的配套数据集集合之一。
提供机构:
skandermoalla



