Watch your model learn — loss curves, metrics, and GPU stats.
Choose a project or start fresh.
Setting up dependencies and scanning hardware.
Browse and manage your datasets, models, and projects.
Peek inside model architecture and training state.
Clear, human-readable errors when something goes wrong.
The hub — navigate to projects, models, datasets, and settings.
Monitor training progress and hardware usage in real time.
The first thing you see — MAMA booting up and detecting your environment.
Configure and launch fine-tuning runs on your own data.
Package your trained model for deployment or sharing.
Manage components and extensions for your workflow.
Browse and query your training data with ease.