New features

• Support T5 models, including the variants T5v1.1 and mT5
• Support loading the model files from memory:
  • Python: see the files argument in the constructor of classes loading models
  • C++: see the models::ModelMemoryReader class

Fixes and improvements

• Improve the quantization accuracy of OPT models by applying the SmoothQuant technique during conversion (pre-computed activation scales should be passed to the converter option --activation_scales)
• Fix conversion of BART-like models from HuggingFace that are using a different number of encoder and decoder layers
• Fix compilation when no BLAS CPU backend is selected
• Remove no longer relevant CMake warning when the project is compiled without oneDNN
• Update oneDNN to 3.0
• Update oneMKL to 2023.0