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When using the distributed optimizer, You may use the following Resource to repartition the distributed optimizer If your parallel strategies is adjusted in the training.
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It's very simple to complete the heterogeneous training on chips of various generations Together helen88 with the exact same architecture or compatible architectures.
The rationale why we start off from Megatron-LM is the fact it may possibly attain a really large-degree source utilization by combining quite possibly the most extensive dispersed training and accelerating procedures, especially for teaching LLMs over and above ten-billions of parameters.
What's more, it assists builders in promptly establishing a simple nonetheless entire pipeline for LLM, including teaching, fantastic-tuning, inference and serving. It has various options as follows:
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Ahead of accomplishing the heterogenous training, you should lengthen the hostfile by including the machine varieties. That you are absolutely free to select the identifier strings for these system sorts, but you should assure they aren't duplicated.
HOSTFILE: the hostfile in the nodes for the current instruction, which is made up of a list of hostnames and slot counts. As an example: