Open the config.yaml file and specify the specified configurations. The file must have the following framework:
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To resume teaching from a transformed Megatron-LM checkpoint, it is actually critical to properly create the training parameters to match the former Finding out price agenda. Use the next placing for your coach.max_steps parameter in your NeMo teaching configuration:
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Seamlessly adapt a pretrained checkpoint obtained from an exterior code repository right into a Cerebras Model Zoo-compatible configuration and checkpoint. This directly permits the continuation of coaching within the Cerebras CS program.
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two. After you have folded the LoRA matrices in to the weights in the design, use the checkpoint conversion script to convert.
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