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# 偏好评分
GRM Gemma2 2B Rewardmodel Ft
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一个基于GRM-Gemma2-2B-sftreg微调的高性能2B参数奖励模型，在奖励基准测试中表现优异，超越多个8B模型
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GRM Llama3.2 3B Rewardmodel Ft
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基于Llama3架构的3B参数奖励模型，在reward-bench评测中获得90.9分，性能超越多个8B奖励模型
大型语言模型
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Skywork Reward Gemma 2 27B V0.2
基于Gemma-2-27B架构构建的高性能奖励模型，使用净化后的Skywork-Reward-Preference-80K-v0.2数据集训练，擅长处理复杂场景中的偏好判断。
大型语言模型
Transformers
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Skywork Reward Llama 3.1 8B V0.2
基于Llama-3.1-8B-Instruct架构构建的先进奖励模型，使用80K高质量偏好对训练，擅长处理复杂场景中的偏好问题。
大型语言模型 Transformers
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Skywork Reward Gemma 2 27B
Skywork-Reward-Gemma-2-27B是基于gemma-2-27b-it架构构建的先进奖励模型，擅长处理复杂场景下的偏好问题。
大型语言模型 Transformers
TransformersS
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大型语言模型 Transformers Supports Multiple Languages
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