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## Models
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- **[Skywork-R1V2-38B](https://huggingface.co/Skywork/Skywork-R1V2-38B)**: Multimodal Hybrid Reinforcement Learning for Reasoning
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- **[Skywork-VL-Reward-7B](https://huggingface.co/Skywork/Skywork-VL-Reward-7B)**: MultiModal Reward Model
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- **[Skywork-o1-Open-PRM](https://huggingface.co/Skywork/Skywork-o1-Open-PRM-Qwen-2.5-1.5B)**: o1 Open Model Series
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- **[Skywork-Reward
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## Models
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- **[Skywork-Reward-V2 series](https://huggingface.co/collections/Skywork/skywork-reward-v2-685cc86ce5d9c9e4be500c84)**: Scaling Preferenec Data Curation to the Extreme
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- **[Skywork-SWE-32B](https://huggingface.co/Skywork/Skywork-SWE-32B)**: Unveiling Data Scaling Laws for Software Engineering in LLMs
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- **[Skywork-OR1](https://huggingface.co/collections/Skywork/skywork-or1-67fa1bcb41b436ef2def76b9)**: SOTA 7B and 32B open reasoning models for math and and code
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- **[Skywork-R1V2-38B](https://huggingface.co/Skywork/Skywork-R1V2-38B)**: Multimodal Hybrid Reinforcement Learning for Reasoning
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- **[Skywork-VL-Reward-7B](https://huggingface.co/Skywork/Skywork-VL-Reward-7B)**: MultiModal Reward Model
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- **[Skywork-o1-Open-PRM](https://huggingface.co/Skywork/Skywork-o1-Open-PRM-Qwen-2.5-1.5B)**: o1 Open Model Series
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- **[Skywork-Reward series](https://huggingface.co/collections/Skywork/skywork-reward-model-66d7fbdebae0e60d00a6b60d)**: Strong 8B and 27B Reward Models Topping RewardBench
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