HyperCLOVA X 32B Think

TL;DR

HyperCLOVA X 32B Think is a Korean-focused vision-language model emphasizing reasoning, multimodal understanding, and agentic behaviors, achieving strong benchmark performance and open-sourcing to foster research.

Contribution

Introduces HyperCLOVA X 32B Think, a novel Korean-centric vision-language model with enhanced reasoning and agentic capabilities, and provides open access for community development.

Findings

Strong performance on Korean text-to-text benchmarks

Effective multimodal understanding and reasoning

Supports agent-oriented tasks

Abstract

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.