Michael Feil

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.

Fast Tokens

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

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