A joint low-rank and mixed-precision quantization method that assigns rank and bit-width per transformer layer under a memory constraint, showing state-of-the-art compression accuracy.
End- to-end object detection with transformers
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MLoRQ: Bridging Low-Rank and Quantization for Transformer Compression
A joint low-rank and mixed-precision quantization method that assigns rank and bit-width per transformer layer under a memory constraint, showing state-of-the-art compression accuracy.