OSS tagged “Training & Fine-tuning”

What it does

Scale Python and AI workloads from a laptop to a cluster with distributed tasks, actors, and objects

What it does

Post-train foundation models with shared Python trainers and a CLI for SFT, preference optimization, and reward learning

What it does

reduce fine-tuning memory and checkpoint storage by training only a small set of parameters with LoRA and other PEFT methods

What it does

tensor computation and automatic differentiation from Python

What it does

Load, run, and train text, vision, audio, and multimodal models through shared AutoClass and Pipeline APIs