Methods › Natural Language Processing › Language Models › CPM-2
CPM-2
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CPM-2 is a 11 billion parameters pre-trained language model based on a standard Transformer architecture consisting of a bidirectional encoder and a unidirectional decoder. The model is pre-trained on WuDaoCorpus which contains 2.3TB cleaned Chinese data as well as 300GB cleaned English data. The pre-training process of CPM-2 can be divided into three stages: Chinese pre-training, bilingual pre-training, and MoE pre-training. Multi-stage training with knowledge inheritance can significantly reduce the computation cost.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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CPM-2: Large-scale Cost-effective Pre-trained Language Models 20 Jun 2021 · 2 repositories · arXiv:2106.10715
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Decoder | 1 |
| GPU | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections