QLoRA Training Run Estimator
Size a single-GPU adapter run and inspect its simulated learning trajectory before committing compute.
Training Inputs
Uses bundled model-memory and A100 throughput/rate fixtures; estimates are illustrative. The full toolkit prepares real datasets, launches LoRA/QLoRA, monitors anomalies, merges adapters, and exports GGUF/SafeTensors.
Included with Fine-Tuning Pipeline
The complete Fine-Tuning Pipeline package includes:
- Dataset preparation engine
- 8 instruction templates
- YAML-driven training config
- LoRA/QLoRA trainer
- Training monitor
- Model merger