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The illustrations deal with situations for example converting a checkpoint making use of just one GPU with FP16 or BF16 precision, and converting a checkpoint with specific product hyperparameters.
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Seamlessly adapt a pretrained checkpoint received from an exterior code repository right into a Cerebras Model Zoo-compatible configuration and checkpoint. This right allows the continuation of training over the Cerebras CS system.
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On condition that these Qualities can't be mechanically inferred with the converter tool, it's important so as to add these extra properties on the transformed configuration file. To start, you'll be able to check with the example configs obtainable from the Cerebras Product Zoo.
The script supports tensor parallelism and pipeline parallelism to distribute the model throughout a number of GPUs.
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