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The script supports multi-threaded execution to speed up the conversion approach when using several GPUs.
The dataloader state conversion will mechanically be completed during checkpoint conversion if This is certainly set while in the config:
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This is often performed by loading/saving 1 shard at any given time for pickled checkpoints and loading/conserving one tensor at any given time for Cerebras H5 checkpoints. Streaming conversion is enabled 500+ conversion checkpoints by default; you don’t require to help make any improvements for the command line arguments. Because of this characteristic, you will now manage to convert large checkpoints (e.g.: LLaMA 70B) on a small device (~10GB of RAM).
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If you want to change from Cerebras Design Zoo to a different repository at any level, we strongly endorse that you choose to very first execute a config conversion utilizing the transform-config Instrument ahead of initiating the schooling of one's model. This proactive step means that you can evaluate regardless of whether your model may be seamlessly transformed to another format.
It’s vital that you Be aware that other repositories may well not guidance as a lot of generalized product implementations as being the Cerebras Model Zoo, and They might not accommodate your particular design modifications. For instance, Hugging Facial area NLP design implementations have limits on positional embeddings, making it difficult to add ALiBi embeddings to an LLaMA design.