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Copy file name to clipboardExpand all lines: gptq-integration.md
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@@ -52,7 +52,7 @@ This blogpost and release come with several resources to get started with GPTQ q
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## **A gentle summary of the GPTQ paper**
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Quantization methods usually belong into one of two categories:
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Quantization methods usually belong to one of two categories:
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1. Post-Training Quantization (PTQ): We quantize a pre-trained model using moderate resources, such as a calibration dataset and a few hours of computation.
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2. Quantization-Aware Training (QAT): Quantization is performed before training or further fine-tuning.
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