韩语文化场景下的强推理多模态模型，支持智能体行为。
HyperCLOVA X 32B Think
- 专为韩语语境优化，强化推理与多模态理解能力。
- 在韩文文本和视觉问答任务中表现优于同类模型。
- 适合需要韩语推理与智能体功能的研究与应用。
本文介绍 HyperCLOVA X 32B Think，一个针对韩语语言与文化背景设计的视觉语言模型，重点强化推理能力与智能体行为。该模型在预训练阶段注重推理能力，后续通过后训练实现多模态理解、增强推理、智能体行为及人类偏好对齐。实验表明，其在同等规模模型中，在韩语文本到文本、视觉到文本基准以及面向智能体的任务评估中均表现优异。通过开源该模型，我们希望推动学术与产业界更广泛的应用与创新。
原文摘要 · Abstract (English)
In this report, we present HyperCLOVA X 32B Think, a vision-language model designed with particular emphasis on reasoning within the Korean linguistic and cultural context, as well as agentic ability. HyperCLOVA X 32B Think is pre-trained with a strong focus on reasoning capabilities and subsequently post-trained to support multimodal understanding, enhanced reasoning, agentic behaviors, and alignment with human preferences. Experimental evaluations against comparably sized models demonstrate that our model achieves strong performance on Korean text-to-text and vision-to-text benchmarks, as well as on agent-oriented evaluation tasks. By open-sourcing HyperCLOVA X 32B Think, we aim to support broader adoption and facilitate further research and innovation across both academic and industrial communities.
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