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Our designs ended up qualified applying PyTorch AMP for mixed precision. AMP retains model parameters in float32 and casts to 50 percent precision when necessary.Simplicity in Preprocessing: It simplifies the preprocessing pipeline by removing the necessity for intricate tokenization and vocabulary management, lessening the preprocessing actions an