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Español(ES) Llamion Technical Report

Llamion 语言模型将 Orion-14B 转换为 Llama 架构

研究人员推出了一系列名为 Llamion 的新型 140 亿参数开放权重语言模型。这些模型通过一种称为高效知识保留转换(KEPT)的技术,将 Orion-14B 模型转换为 Llama 架构。该方法结合了参数映射和跨架构知识蒸馏,以保留 Orion 的行为。Llamion 模型在 KoMMLU 等基准测试中表现出色,超越了现有模型,并保留了 Python 编程和处理 200K token 上下文等能力。 AI

影响 引入了一种将现有大型语言模型高效转换为新架构的方法,可能促进更广泛的应用和定制。

排序理由 该集群描述了一篇关于新语言模型系列创建和性能的最新研究论文。

在 arXiv cs.CL 阅读 →

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Llamion 语言模型将 Orion-14B 转换为 Llama 架构

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报道来源 [2]

  1. arXiv cs.CL TIER_1 Español(ES) · Kisu Yang, Yoonna Jang, Hyeonseok Moon, Hwanseok Jang, Taewoo Lee, Hyungjin Lee, Jeseung Lee, Juhyoung Park, Heuiseok Lim ·

    Llamion Technical Report

    arXiv:2605.25676v1 Announce Type: new 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 Tr…

  2. arXiv cs.CL TIER_1 Español(ES) · Heuiseok Lim ·

    Llamion Technical Report

    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) …