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* change syntax * make style
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44 lines
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<!--Copyright 2025 The HuggingFace Team. All rights reserved.
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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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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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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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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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-->
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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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## PipelineQuantizationConfig
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[[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
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[[autodoc]] quantizers.base.DiffusersQuantizer
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