The script takes a pre-qualified model checkpoint and converts it into a structure that can be loaded and optimised by TensorRT-LLM.
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Setting up release 2.one, the whole process of folding is now mechanically taken care of through the checkpoint converter. Jogging the subsequent command will convert a GPT2 muP design experienced in Modelzoo right into a sP Hugging Encounter-suitable design.
Conversions are only occasionally doable as other repositories are less standard than our Product Zoo implementations (e.g., many Hugging Confront NLP design implementations aid limited varieties of positional embeddings, when Sales conversion checkpoints Product Zoo includes an expanded variety). This is why, we propose that you run config conversion prior to instruction the design if you intend to change a Model Zoo model to another repository at any time.
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