Experimental INT4 ConvRot quantization reduces Krea 2 Turbo to 11.88 GB, faster than INT8

The aggressive INT4 profile reduces model size from 26.3 GB to 11.88 GB by quantizing 173 layers. The quantized model is faster than INT8 ConvRot while maintaining quality.