PanGu-alpha 200B
Huawei's 200-billion-parameter Chinese autoregressive language model, trained with MindSpore auto-parallel computation on 2,048 Ascend 910 processors for few-shot and zero-shot language tasks.
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Why this model scores 31.7
Capability reflects the model's major scale and general few-shot and zero-shot language performance. Autonomy is low because no persistent planning or independent tool use was shown. Deployment reflects a public launch with limited demonstrated access. Misuse and control difficulty are moderate because general language generation is dual-use but the system was not broadly open-weight or widely deployed.
News tied to PanGu-alpha 200B
The model score of 31.7 rates this model's risk profile. The overall Doom Index of 66.8 measures the complete temporally weighted evidence record. These values answer different questions.
Each article's current Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores use a bounded temporal offset around their technical profile, but never feed back into the overall index.
Huawei details the 200-billion-parameter PanGu-alpha model
Huawei researchers published the exact PanGu-alpha 200B technical report after Huawei launched the Pangu model family, documenting few-shot and zero-shot Chinese-language generation trained across 2,048 Ascend 910 processors.
- Full item contribution
- +0.03
- PanGu-alpha 200B equal share
- +0.03
Model score history
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R3
Doom Score 31.7
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 34.1
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 37.1
Initial exact-version model profile supported by the dated technical report and Huawei's preceding Pangu family launch. No total score supplied.
12 Aug 2026