🔨 Model Forge
Fine-tune your own models and integrate them seamlessly into the unlearning pipeline.
⚙️ Fine-Tuning Pipeline
1
Upload Dataset
Training data
→
2
Load Base Model
distilgpt2
→
3
Fine-Tune
Custom parameters
→
4
Save Model
./forged_model
→
5
Auto-Available
For unlearning
Seamless Integration
Models forged here are automatically detected by the Unlearning Engine. No manual configuration needed - just forge and unlearn!
Base Model
distilgpt2
Output Path
./forged_model
Optimization
FP16, Batch=4
Tracking
Loss + Metadata
Fine-Tuning Workbench