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来自MSN
11 个月
ByteScale:在超过12,000个GPU上实现2048K上下文长度的LLM训练高效扩展
年前,我们在做长文支持时,就有思考,为什么现在的大规模分布式训练系统(预训练)都是基于限定长度的seqlen,即使在多个长文的支持时,也是通过不同的训练任务来通常重载checkpoint去增强相关能力。为什么一定要如此整齐的数据,从样本层面的话,一定是 ...
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