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Tags: Model quantization
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A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

  • low-precision
  • pruning
  • sparsity
  • auto-tuning

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

  • iot-device
  • sensor
  • edge-machine-learning
  • resource-constrained-ml