Pre-training was conducted in three phases, covering long-horizon pre-training, mid-training, and a long-context extension phase. We used sigmoid-based routing scores rather than traditional softmax gating, which improves expert load balancing and reduces routing collapse during training. An expert-bias term stabilizes routing dynamics and encourages more uniform expert utilization across training steps. We observed that the 105B model achieved benchmark superiority over the 30B remarkably early in training, suggesting efficient scaling behavior.
Ранее Пит Хегсет заявил, что огневая мощь Соединенных Штатов, применяемая против Ирана, вскоре возрастет. По словам шефа Пентагона, у США нет недостатка в наступательном и оборонительном вооружении.
。关于这个话题，新收录的资料提供了深入分析
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You need to read the epic Argentinian horror novel Our Share of Night