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English(EN) Huawei Open-Sources openPangu-2.0 Pretrain, SFT and RL Training Code on Ascend

华为开源openPangu-2.0训练代码,支持Ascend栈

华为发布了其openPangu-2.0模型的训练代码,该模型专为华为的Ascend原生混合专家(MoE)栈设计。此次发布包括预训练、监督微调(SFT)和人类反馈强化学习(RL)的代码。开源代码是对先前发布的模型权重(特别是Pro (505B)和Flash (92B)版本)的补充。 AI

影响 此次发布为研究人员和开发人员提供了在华为Ascend硬件上训练和微调大规模MoE模型的工具,有望促进人工智能开发的创新。

排序理由 大型语言模型训练代码的开源发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 Pandaily 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

华为开源openPangu-2.0训练代码,支持Ascend栈

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大型语言模型训练代码的开源发布。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    华为开源 openPangu-2.0 预训练、SFT 和 RL 训练代码(基于 Ascend)

    On September 28, 2026 Huawei open-sourced openPangu-2.0 pretrain, SFT and post-training RL code for its Ascend-native MoE stack, complementing earlier Pro (505B) and Flash (92B) weight releases.