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Build training and infering deep learning models using GGML

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GGML Examples

Examples of inference of popular networks like DNN, RNN, LSTM, etc implemented in GGML.

Models

  • RNN Text Generation: Model is trained with Tensorflow, then exported to binary file. A GRU cell is implemented with GGML with the graph contains only the single GRU Cell. A simple for-loop is used to generate token by token.
  • MobileVit: This is the conversion of huggingface.co's TFMobileViT to GGML.

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Build training and infering deep learning models using GGML

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  • C++ 98.5%
  • Python 1.3%
  • Makefile 0.2%