"title": self.title,
Pre-trainingOur 30B and 105B models were trained on large datasets, with 16T tokens for the 30B and 12T tokens for the 105B. The pre-training data spans code, general web data, specialized knowledge corpora, mathematics, and multilingual content. After multiple ablations, the final training mixture was balanced to emphasize reasoning, factual grounding, and software capabilities. We invested significantly in synthetic data generation pipelines across all categories. The multilingual corpus allocates a substantial portion of the training budget to the 10 most-spoken Indian languages.
。业内人士推荐新收录的资料作为进阶阅读
elif char == 27:。关于这个话题，新收录的资料提供了深入分析
Никита Хромин (ночной линейный редактор)，更多细节参见新收录的资料