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# Quantization

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Quantization techniques reduce memory and computational costs by representing weights and activations with lower-precision data types like 8-bit integers (int8). This enables loading larger models you normally wouldn't be able to fit into memory, and speeding up inference.
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> [!TIP]
> Learn how to quantize models in the [Quantization](../quantization/overview) guide.
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## PipelineQuantizationConfig

[[autodoc]] quantizers.PipelineQuantizationConfig
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## BitsAndBytesConfig

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[[autodoc]] quantizers.quantization_config.BitsAndBytesConfig
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## GGUFQuantizationConfig

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[[autodoc]] quantizers.quantization_config.GGUFQuantizationConfig
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## QuantoConfig

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[[autodoc]] quantizers.quantization_config.QuantoConfig
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## TorchAoConfig

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[[autodoc]] quantizers.quantization_config.TorchAoConfig
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## DiffusersQuantizer

[[autodoc]] quantizers.base.DiffusersQuantizer