Skywork-Reward-V2-Qwen3-0.6B

モデル紹介

**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.

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

公開評価と実行設定

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。

よくある質問

出典と追跡記録

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。