PANews, June 12: Huawei unveiled the open-source large model openPangu 2.0 at HDC 2026, offering two versions—Pro and Flash—both supporting 512K context length. The openPangu 2.0 Pro has a total of 505 billion parameters and 18 billion activated parameters, while the 2.0 Flash version has a total of 92 billion parameters and 6 billion activated parameters. The company states that the model achieves double the single-card throughput on Ascend computing power compared to other mainstream open-source models and is better optimized for HarmonyOS, enhancing the speed and accuracy of Agent tasks. openPangu 2.0 will gradually open-source seven major components starting June 30, including newly open-sourced pre-training code, post-training code, and training operators.
Huawei Releases OpenPangu 2.0 with 50.5 Billion Parameters and 512K Context
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Summary
Huawei releases OpenPangu 2.0 with 50.5B parameters and 512K context, offering Pro and Flash versions. The Pro model has 505B total and 18B active parameters, while the Flash model has 92B total and 6B active parameters. The model doubles throughput on Ascend hardware and is optimized for HarmonyOS. OpenPangu 2.0 will open-source seven components starting June 30, including training code and operators. This on-chain update highlights Huawei’s latest contribution to open-source AI.
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