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arXiv · 2605.25676

Llamion Technical Report

Kisu Yang·Yoonna Jang·Hyeonseok Moon·Hwanseok Jang·Taewoo Lee·Hyungjin Lee·Jeseung Lee·Juhyoung Park·Heuiseok Lim
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Abstract

We release Llamion, a family of 14B-parameter open-weight language models obtained by transforming Orion-14B into the standardized Llama-family architecture. The transformation is performed by Efficient Knowledge Preservation for Transformation (KEPT), a recipe that combines (i) Normal Parameter Mapping (NPM) for unchanged modules, (ii) Optimized Parameter Mapping (OPM), a training-free LayerNorm-to-RMSNorm initialization we prove optimal under the near-zero-mean activation regime induced by weight decay, and (iii) Cross-architecture Knowledge Distillation (XKD), an equal-size frozen-teacher distillation that aligns the converted model's outputs with the source model's on any reasonable input distribution. Llamion recovers Orion's behaviour on H6, MT-Bench, and KoMMLU with only ~123M tokens on a single A100 in four days; Llamion-Base reaches 66.87% on KoMMLU, exceeding the next-best entry of the Open Ko LLM Leaderboard by >7.0 absolute points at submission time. Capabilities entirely absent from the transfer corpus (Python programming and 200K-token context handling) survive the architectural transition intact. We release three checkpoints (Base, Chat, LongChat) that load with trust_remote_code=False in the Hugging Face Transformers library.

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Kisu Yang, Yoonna Jang, Hyeonseok Moon, Hwanseok Jang, Taewoo Lee, Hyungjin Lee, Jeseung Lee, Juhyoung Park, Heuiseok Lim. 2026-05-25. Llamion Technical Report. https://arxiv.org/abs/2605.25676

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