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transformers/docs/source/en/quantization/optimum.md
Younes Belkada 87a351818e
Docs / Quantization: refactor quantization documentation (#30942) 
* refactor quant docs

* delete file

* rename to overview

* fix

* fix table

* fix

* add content

* fix library versions

* fix table

* fix table

* fix table

* fix table

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* replace to quantization_config

* fix aqlm snippet

* add DLAI courses

* fix

* fix table

* fix bulet points

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2024-05-23 14:31:52 +02:00

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Optimum

The Optimum library supports quantization for Intel, Furiosa, ONNX Runtime, GPTQ, and lower-level PyTorch quantization functions. Consider using Optimum for quantization if you're using specific and optimized hardware like Intel CPUs, Furiosa NPUs or a model accelerator like ONNX Runtime.