SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

Low Precision Arithmetic Simulation in PyTorch

A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation

Low Precision(quantized) Yolov5

JAX Scalify: end-to-end scaled arithmetics

Code for DNN feature map compression paper

CUDA/HIP header-only library for low-precision (16 bit, 8 bit) and vectorized GPU kernel development

LinearCosine: Adding beats multiplying for lower-precision efficient cosine similarity

QuantLab-8bit is a reproducible benchmark of 8-bit quantization on compact vision backbones. It includes FP32 baselines, PTQ (dynamic & static), QAT, ONNX exports, parity checks, ORT CPU latency, and visual diagnostics.