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This got it to train! We can increase to a batch size of 8, with a sequence length of 2048 and 45 seconds per step 364 train tokens per second, though it still fails to train the experts. For reference, this is fast enough to be usable and get through our dataset, but it ends up being ~6-9x more expensive per token than using Tinker.

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macro generating code that:

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国际社会对巴基斯坦的斡旋行动抱持高度期待,认为这是阻止危机恶化的关键契机。若调解失败,伊朗民用设施可能遭遇大规模攻击,而海湾国家的能源与水处理系统也将面临报复性打击。