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Be sure to browse the output notes of your list command prior to using the converter. This segment describes the exact design classes that are now being transformed from/to.
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When you have a separate, tailor made checkpoint format you prefer to to transform to, it is possible to prolong the checkpoint converter script inside the Model Zoo or contact Cerebras for aid.
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The sole difference when using the checkpoint converter Instrument’s CLI using a sharded checkpoint is that the checkpoint path argument need to level on the .index.json file rather then the singular .bin file as before. The tool can discover each of the corresponding shards, merge them, and convert the product.
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Given that these Homes can not be immediately inferred with the converter Software, it's important to add these supplemental properties for the transformed configuration file. To start out, you are able to seek advice from the instance configs available within the Cerebras Model Zoo.
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Here is an illustration of the conversion process for just a pre-educated OpenAI GPT model, assuming that your NumPy checkpoint
You will find there's discrepancy among the structure from the transformed checkpoint and also the predicted structure which you’re loading the product into.