Training Slayer V740 By - Bokundev High Quality

While v740 supports FP16 for speed, high quality requires pure FP32. Use the --no_amp flag. The 30% speed penalty is worth the 500% improvement in gradient fidelity.

After training, export the .slayer model file. Load it into your V740-compatible plugin (e.g., Neural-Loader Pro or BokunDSP Player). Play a DI track you did NOT train on – a random riff from YouTube or a different guitar. training slayer v740 by bokundev high quality

For those who want to exceed even Bokundev’s high quality baseline, implement Ensemble Slayer Training. Train three separate v740 instances with different random seeds, then use the ensemble_average.py script included in the advanced pack. While v740 supports FP16 for speed, high quality

Community tests show that a 3-model ensemble reduces variance by another 40% compared to a single high quality model. However, this requires 72GB of VRAM (or three staggered runs). For those who want to exceed even Bokundev’s