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47 lines
1.3 KiB
Markdown
47 lines
1.3 KiB
Markdown
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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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>
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Learn how to quantize models in the [Quantization](../quantization/overview) guide.
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</Tip>
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## PipelineQuantizationConfig
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[[autodoc]] quantizers.PipelineQuantizationConfig
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## BitsAndBytesConfig
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[[autodoc]] BitsAndBytesConfig
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## GGUFQuantizationConfig
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[[autodoc]] GGUFQuantizationConfig
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## QuantoConfig
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[[autodoc]] QuantoConfig
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## TorchAoConfig
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[[autodoc]] TorchAoConfig
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## DiffusersQuantizer
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[[autodoc]] quantizers.base.DiffusersQuantizer
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