Huawei open-sources the 9.2B-parameter openPangu-2.0-Flash model

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On June 30, 2026, Huawei released on-chain news open-sourcing the 9.2B-parameter openPangu-2.0-Flash model. Built on a MoE architecture, it features 600 million active parameters and supports 512K ultra-long context. The model is now available on GitCode’s Ascend Tribe community, including weights, inference code, and operators. A more powerful openPangu-2.0-Pro version is set to launch in July, with additional components expected later this year. Crypto news highlights this as a major AI advancement for developers and researchers.

ChainThink reports that on June 30, according to official announcements, Huawei has officially open-sourced the Pangu openPangu-2.0-Flash model and will launch it on the Ascend Tribe community on GitCode.

This model features a MoE architecture with 92 billion parameters and 6 billion activated parameters, supporting a 512K ultra-long context. According to the open-source roadmap, the initial releases will include model weights, basic inference code, and training and inference operators.

The enhanced openPangu-2.0-Pro weights and inference code will be released in July, with additional components gradually open-sourced throughout the second half of the year.

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