Training Slayer V740 By Bokundev High Quality May 2026

Many users import old configs with a "temperature" variable. v740 does not use temperature. Instead, it uses Stochasticity Factor (SF) . Setting SF below 0.7 produces "plastic" outputs (overly smooth). For high quality, set SF between 0.85 and 0.92.

Before we open any training software, let’s establish the context. The "Slayer" models are not your typical amp simulators. They are recurrent neural networks (RNNs) designed to capture not just the frequency response of a guitar rig, but its dynamic non-linearities—the way a tube amp sputters, blooms, and crunches differently at each pick attack.

Bokundev’s V740 is a specific architecture that improves upon previous versions by: training slayer v740 by bokundev high quality

"High quality" in this context means models that maintain clarity at 120 BPM extreme metal down-tuned to Drop G, as well as the touch sensitivity needed for blues-rock breakup.

Three weeks into training, v740 hit a wall. It separated loud signals beautifully, but quiet passages sounded like they were under water. Many users import old configs with a "temperature" variable

Turns out, the model had learned a nasty shortcut: if the input level is below -40dBFS, just output silence.

To fix this, I implemented Dynamic Gain Augmentation. During training, I randomly boosted quiet sections by +24dB and then normalized them back. This forced the model to actually process the noise floor and reverb tails, not just mute them. "High quality" in this context means models that

After 48 hours of retraining with that augmentation, v740 started preserving "the air" between notes. That was the "aha!" moment.