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8b33b47332
* initial * fix code quality * dependency test fix * apply review suggestions * add extras and version check * fix gating and prefer local cache for modular * simplify transformers registration and make the version warning silenceable * remove pipeline level test * only model level testing * layers to quantizze, change em dashes * env flag for transformers --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
52 lines
1.6 KiB
Markdown
52 lines
1.6 KiB
Markdown
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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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## NunchakuLiteQuantizationConfig
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[[autodoc]] quantizers.quantization_config.NunchakuLiteQuantizationConfig
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## QuantoConfig
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[[autodoc]] quantizers.quantization_config.QuantoConfig
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## SDNQConfig
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[[autodoc]] quantizers.quantization_config.SDNQConfig
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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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