The script usually takes a pre-skilled product checkpoint and converts it into a format which can be loaded and optimised by TensorRT-LLM.
In prior releases, conversion demanded the two the enter & output checkpoints to become stored in memory during conversion. This meant that giant styles needed a prohibitively massive amount of memory in an effort to accomplish conversion. In release 2.0.0, we introduce streaming conversion, which drastically cuts down the height memory use by carrying out conversion incrementally.
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Eleuther’s ultimate GPT-J checkpoint is usually accessed on Hugging Confront at EleutherAI/gpt-j-6B. Rather then manually getting into the values with the product architecture table into a config file and producing a script to transform their checkpoint, we can automobile-crank out these with a single command.
When you have a separate, tailor made checkpoint structure you want to to convert to, you are able to extend the checkpoint converter script during the Design Zoo or Make contact with Cerebras for help.
The illustrations go over scenarios which include changing a checkpoint applying a single GPU with FP16 or BF16 precision, and changing a checkpoint with unique product hyperparameters.
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Use the right https connection when downloading documents from Hugging Confront product card web pages. Use the path which contains …/raw/… for config data files. Use The trail that contains …/solve/… for checkpoint files.
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If you want to convert from Cerebras Product Zoo to a different repository at any level, we strongly suggest that you initially execute a config conversion using the transform-config Resource ahead of initiating the schooling of your model. This proactive move lets you assess no matter if your model might be seamlessly transformed to a different format.
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