华为开源盘古 openPangu-2.0-Pro 大模型及技术报告

华为官宣开源盘古 openPangu-2.0-Pro 模型及技术报告。1该模型参数规模约 505B，每 token 激活参数规模约 18B，基于昇腾 NPU 训练，支持 512k 上下文长度。1训练数据总量约 34T tokens。1模型在 Attention 架构、拓扑架构、自投机模块等方面进行了全面升级。1

余承东在 6 月 HDC 2026 主题演讲中宣布将从 6 月 30 日起陆续开源 7 大组件。1华为已于 6 月 30 日开源了 92B 参数的 openPangu-2.0-Flash 模型。1此次 openPangu-2.0-Pro 的发布是华为盘古开源计划的又一组件。1模型权重、基础推理代码及技术报告已同步发布。1

Huawei has officially released the Pangu openPangu-2.0-Pro model along with its technical report as open source.1 The model features approximately 505 billion parameters, with an activated parameter scale of roughly 18 billion per token, and was trained on Huawei's Ascend NPU architecture.1 It supports a context length of 512,000 tokens and was trained on a total of approximately 34 trillion tokens of data.1

This release follows Yu Chengdong's announcement at the HDC 2026 conference in June, where he committed to gradually open-sourcing seven major components beginning June 30.1 The company had already released the 92-billion-parameter openPangu-2.0-Flash model on June 30 as part of this initiative.1 The Pro model represents a comprehensive upgrade across multiple technical dimensions, including improvements to the Attention architecture, topology architecture, and self-speculative modules.1 The open-source model, weights, foundational inference code, and technical documentation are now available at https://ai.gitcode.com/ascend-tribe/openPangu-2.0-Pro.[1](#source-1)