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If most training script is homogenous except the data_path args/ config (I assume it is as they started from the same seed LM), then we could do a script that trains expert model sequentially and keeps the GPUs busy.
The text was updated successfully, but these errors were encountered:
If most training script is homogenous except the data_path args/ config (I assume it is as they started from the same seed LM), then we could do a script that trains expert model sequentially and keeps the GPUs busy.
The text was updated successfully, but these errors were encountered: