Abstract: Quantization has emerged as one of the most prevalent approaches to compress and accelerate neural networks. Recently, data-free quantization has been widely studied as a practical and ...

This repository contains the PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models". We provide a systematic study on quantized reasoning models, ...

Running the example script llm-compressor/examples/quantization_w4a4_fp4/llama3_example.py results in a runtime error. Full traceback is included below.

Abstract: Quantization has enabled the widespread implementation of deep learning algorithms on resource-constrained Internet of Things (IoT) devices, which compresses neural networks by reducing the ...

The quantization of classical theories that admit more than one Hamiltonian description is considered. This is done from a geometrical viewpoint, both at the quantization level (geometric quantization ...