On-device training
Fine-tune models using Apple Silicon GPU or NVIDIA CUDA. No cloud compute bills - your hardware does the work.
Solutions
Train models on your own data
Fine-tune open-source models directly on your machine. LoRA adapters, custom datasets, and training pipelines that never send your data anywhere.
Fine-tuning capabilities
LoRA adapters
Train lightweight adapters that modify model behavior without retraining the full weights. Fast, efficient, and reversible.
Dataset management
Import training data from files, conversations, or connected apps. Build datasets from your real-world interactions.
Training monitoring
Watch loss curves, validation metrics, and training progress in real time. Stop early, adjust hyperparameters, and iterate.
Custom pipelines
Build training pipelines with the agent editor. Automate data preparation, training, evaluation, and deployment.
One-click deployment
Load your fine-tuned model into any conversation or agent with a single click. Seamless integration with the rest of Gotchi.
Use cases
Models that speak your language
Fine-tune a model on your company's writing style, technical documentation, or domain-specific terminology. Create a code assistant trained on your codebase conventions. Build a customer support agent that knows your product inside out. The training data never leaves your machine.
Fine-tuneon-device
loss
2.31
0.42
Adapter ready
Start fine-tuning locally
Download Gotchi and customize models on your own hardware.
macOS·Windows·No telemetry·Free core · €49.99/yr all-in · Free updates