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Blockwise Compression of Transformer-based Models without Retraining
This method mitigates data distribution deviation caused by quantization, eliminating the requirement for retraining.
Block-wise Bit-Compression of Transformer-based Models
With the popularity of the recent Transformer-based models represented by BERT, GPT-3 and ChatGPT, there has been state-of-the-art performance in a range of natural language processing tasks.
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