Skywork-Reward-V2-Qwen3-0.6B

모델 소개

**Skywork-Reward-V2** is a series of eight reward models designed for versatility across a wide range of tasks, trained on a mixture of 26 million carefully curated preference pairs. While the Skywork-Reward-V2 series remains based on the Bradley-Terry model, we push the boundaries of training data scale and quality to achieve superior performance. Compared with the first generation of Skywork-Reward, the Skywork-Reward-V2 series offers the following major improvements: - **Trained on a significantly larger and higher-quality preference data mixture**, consisting of **26 million preference pairs** curated via a large-scale human-LLM synergistic pipeline. - **State-of-the-art performance on seven major reward model benchmarks**, including RewardBench v1, RewardBench v2, PPE Preference, PPE Correctness, RMB, RM-Bench, and JudgeBench. - **Available in eight models across multiple sizes**, with the smallest 0.6B variant, *Skywork-Reward-V2-Qwen3-0.6B*, nearly matching the average performance of our previous best model, Skywork-Reward-Gemma-2-27B-v0.2. The largest 8B version, *Skywork-Reward-V2-Llama-3.1-8B*, surpasses all existing reward models across all benchmarks on average. Our top experimental model, *Skywork-Reward-V2-Llama-3.1-8B-40M*, **outperforms all existing reward models on every benchmark**. For the complete collection of models, please refer to the Skywork-Reward-V2 collection.

주요 특징

特点摘要待依据来源补齐，不凭模型名称推断能力。

한계 및 유의 사항

구체적 한계를 판단할 출처가 부족합니다. 실제 성능, 지연, 데이터 정책, 라이선스와 버전 수명을 확인하세요.

출처별 요금 및 비용 분석

요금은 채널, 지역, 설정에 따라 다릅니다. 각 채널 요금은 개별 표시되며 제공사의 통일 공식 요금이 아닙니다.

공개 평가 및 실행 설정

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

자주 묻는 질문

출처 및 추적 기록

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。