Web Reference: Feb 3, 2024 · This page provides an overview on quantization aware training to help you determine how it fits with your use case. To dive right into an end-to-end example, see the quantization aware training example. What is quantization aware training (qat)? Quantization aware training (QAT) is a method of quantization that integrates weight precision reduction directly into the pretraining or fine-tuning process of large language models (LLMs). Jul 30, 2024 · Learn how to use Quantization-Aware Training (QAT) in PyTorch to improve the accuracy and performance of large language models. See the QAT APIs in torchao and torchtune, and the results on Llama3-8B and XNNPACK.
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