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Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
QuantUFM: Post Training Quantization for Unified Feature Matching
SmoothQuant - Accurate and Efficient Post-Training Quantization for Large Language Models
The myth of 1-bit LLMs | Quantization-Aware Training
🚀 From FP32 to INT8: Post-Training Quantization Explained in PyTorch
NXP Shows How to Shrink Models w/Quantization-aware Training & Post-training Quantization (Preview)
Post-Training Quantization on Diffusion Models (CVPR 2023)
Optimizing LLMs with TensorRT Post-Training Quantization
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Last Updated: October 15, 2026
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Summary
... an integer value that's where the second leg of ... Quantization, Quantization Range, Quantization Granularity, Dynamic and Static Quantization, Make models more efficient with GGUF quantization is currently the most popular tool for 03:49 Two ways to perform Quantization 03:56 Are 1-bit LLMs the future of efficient AI? Or just a catchy Microsoft metaphor? In this video, we break down BitNet, the so-called ... This video'll explore step-by-step ... presents the “Introduction to Shrinking Models with Quantization-aware Training and ... Symmetric vs. asymmetric quantization • Per-tensor, per-channel and per-group quantization • What Supercharging LLMs, thanks to google notebook.