SuperML Documentation

Learn how to label, distill, fine-tune, evaluate, and deploy models efficiently.

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Quickstart
Install the CLI and run your first workflow.
# Install
npm i -g @superml/cli

# Authenticate
superml login

# Create a project
superml init my-project

# Run end-to-end workflow
superml run --label --distill --finetune --eval --deploy
Core Concepts
Understand the platform fundamentals.
  • Auto-Labeling: Use LLMs to rapidly label datasets.
  • Smart Distillation: Compress foundation models into fast students.
  • Adaptive Fine-Tuning: Full fine-tune or LoRA adapters with control.
  • Unified Workflow: Label → Train → Evaluate → Deploy.