EXAONE Deep系列模型通过思维链训练，提升数学与编程推理能力。
EXAONE Deep: Reasoning Enhanced Language Models
- 基于长思维链数据集训练，增强逻辑推理能力
- 2.4B和7.8B模型超越同规模其他模型，32B模型媲美顶尖开源模型
- 所有模型开源，适合研究推理增强的AI系统
我们提出EXAONE Deep系列模型，在数学与编程等推理任务中表现卓越。模型主要在包含长思维链过程的专用数据集上训练。评估结果显示，较小的EXAONE Deep 2.4B和7.8B模型优于同尺寸其他模型，而最大模型EXAONE Deep 32B的表现可与领先开源模型媲美。所有EXAONE Deep模型均对研究开放，可通过https://huggingface.co/LGAI-EXAONE下载使用。
原文摘要 · Abstract (English)
We present EXAONE Deep series, which exhibits superior capabilities in various reasoning tasks, including math and coding benchmarks. We train our models mainly on the reasoning-specialized dataset that incorporates long streams of thought processes. Evaluation results show that our smaller models, EXAONE Deep 2.4B and 7.8B, outperform other models of comparable size, while the largest model, EXAONE Deep 32B, demonstrates competitive performance against leading open-weight models. All EXAONE Deep models are openly available for research purposes and can be downloaded from https://huggingface.co/LGAI-EXAONE.
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