mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-04 05:10:06 +06:00
87a351818e
* 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>
1.1 KiB
1.1 KiB
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.