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post-training-quantization

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AI-Efficiency / Awesome-Model-Quantization

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A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.

awesome awesome-list binarization awesome-lists vector-quantization binary-neural-networks efficient-inference multimodal low-precision diffusion-models model-quantization kv-cache quantization-aware-training post-training-quantization data-free-quantization large-language-models quantizations kv-cache-quantization lattice-quantization large-language-models-llms
  • Updated Sep 28, 2026

666DZY666 / micronet

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micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…

pytorch pruning convolutional-networks quantization xnor-net tensorrt model-compression bnn neuromorphic-computing group-convolution onnx network-in-network tensorrt-int8-python dorefa twn network-slimming integer-arithmetic-only quantization-aware-training post-training-quantization batch-normalization-fuse
  • Updated May 6, 2025
  • Python

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