HyperCLOVAX-SEED-Think-14B

모델 소개

HyperCLOVA X SEED 14B Think is a next-generation language model that moves beyond the conventional approach of simply increasing model size to improve performance. It combines HyperCLOVA X’s lightweighting technology for building high-efficiency LLMs with advanced reasoning capabilities. Its development relied on two key technologies: (1) Pruning & Knowledge Distillation, which achieves both compactness and high performance, and (2) a Reinforcement Learning (RL) pipeline, which maximizes reasoning ability. By pruning low-importance parameters and distilling knowledge from a large model into a smaller one, training costs have been significantly reduced. On top of this, the latest RL recipe validated in HyperCLOVA X Think is applied in a multi-stage process: (1) Supervised Fine-Tuning (SFT), (2) Reinforcement Learning with Verifiable Rewards (RLVR), (3) Length Controllability (LC) for reasoning path optimization, and (4) a joint training of Reinforcement Learning from Human Feedback (RLHF) and RLVR. It is a considerable challenge to equip a pruned, knowledge-distilled model with reasoning capabilities, since reductions in training costs and model size often degrade reasoning performance. However, through extensive research experience and persistent trial and error, the HyperCLOVA X team has succeeded in lowering training costs while maintaining reasoning performance comparable to that of larger, resource-intensive models. - **Architecture** : Transformer-based architecture with Peri-Layer Normalization and Maximal Update Parameterization(μP) (Dense Model) - **Parameters** : 14.74B - **Input/Output Format** (Input/Output) : Text / Text - **Context Length** : 32k

주요 특징

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출처 및 추적 기록

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