AI & LLM Engineering · scragnog/HOT-Step-CPP

Explains where HOT-Step generation time goes (LM/DiT/VAE), how the TensorRT paths activate, how to benchmark from logs, and which knobs trade quality for speed.

scragnog/HOT-Step-CPP

The validated recipe for training MiniMax-Music3 planner-LM style adapters (artist/album clones) with ace-train mm3-lm-train and the Training Studio.

scragnog/HOT-Step-CPP

Explains how model files, checkpoints, GGUF quantization, and the Model Manager work in HOT-Step CPP.

scragnog/HOT-Step-CPP

Maps every HOT-Step CPP feature to its route file, service, UI folder, and engine subsystem, including port topology and the browser-to-engine request path.

scragnog/HOT-Step-CPP

Explains how HOT-Step's LoRA/LoKr adapter system loads, merges, caches, stacks, and regionally masks adapters at runtime, including hard-won failure modes.

scragnog/HOT-Step-CPP