🦥 Unsloth Studio
A modern, full-stack web interface for fine-tuning, managing, and chatting with large language models — locally or in the cloud.
Features •
Quick Start •
API Reference •
Project Structure
---
## Features
| Area | Capabilities |
|---|---|
| **Training** | Configure and launch LoRA / QLoRA fine-tuning jobs with real-time SSE progress streaming, live loss charts, and one-click stop / resume |
| **Model Management** | Browse, load, and manage Hugging Face hub models and local checkpoints |
| **Inference** | Interactive chat playground for testing fine-tuned models |
| **Dataset Tools** | Upload, preview, and prepare datasets (JSON, CSV, Parquet, PDF, DOCX) |
| **Export** | Export & push trained adapters to the Hugging Face Hub |
| **Auth** | Token-based authentication with JWT access / refresh flow and first-time setup token |
## Quick Start
### One-command setup
```bash
bash setup.sh
```
This script will:
1. Install **Node.js ≥ 20** via nvm (if needed)
2. Build the frontend to `studio/frontend/dist`
3. Create a Python virtual environment and install all dependencies (including `unsloth`)
4. Register a convenient `unsloth-ui` shell alias
### Launch the studio
```bash
# After setup, open a new terminal (or source ~/.bashrc), then:
unsloth-ui -H 0.0.0.0 -p 8000
```
On **first launch**, a one-time setup token is printed to the console. Use it in the browser to create your admin account.
## API Reference
All endpoints require a valid JWT `Authorization: Bearer ` header (except `/api/auth/*` and `/api/health`).
| Method | Endpoint | Description |
|---|---|---|
| `GET` | `/api/health` | Health check |
| `GET` | `/api/system` | System info (GPU, CPU, memory) |
| `POST` | `/api/auth/signup` | Create account (requires setup token on first run) |
| `POST` | `/api/auth/login` | Login and receive JWT tokens |
| `POST` | `/api/auth/refresh` | Refresh an expired access token |
| `GET` | `/api/auth/status` | Check if auth is initialized |
| `POST` | `/api/train/start` | Start a training job |
| `POST` | `/api/train/stop` | Stop a running training job |
| `POST` | `/api/train/reset` | Reset training state |
| `GET` | `/api/train/status` | Get current training status |
| `GET` | `/api/train/metrics` | Get training metrics (loss, LR, steps) |
| `GET` | `/api/train/stream` | SSE stream of real-time training progress |
| `GET` | `/api/models/` | List available models |
| `POST` | `/api/inference/chat` | Send a chat message for inference |
| `GET` | `/api/datasets/` | List / manage datasets |
> Full interactive docs are available at `/docs` (Swagger UI) and `/redoc` when the server is running.
## CLI Commands
The Unsloth CLI (`cli.py`) provides the following commands:
```
Usage: cli.py [COMMAND]
Commands:
train Fine-tune a model
inference Run inference on a trained model
export Export a trained adapter
list-checkpoints List saved checkpoints
ui Launch the Unsloth Studio web UI
studio Launch the studio (alias)
```
## Project Structure
```
new-ui-prototype/
├── cli.py # CLI entry point
├── cli/ # Typer CLI commands
│ └── commands/
│ ├── train.py
│ ├── inference.py
│ ├── export.py
│ ├── ui.py
│ └── studio.py
├── setup.sh # One-command bootstrap script
└── studio/
├── backend/
│ ├── main.py # FastAPI app & middleware
│ ├── run.py # Server launcher (uvicorn)
│ ├── auth/ # Auth storage & JWT logic
│ ├── routes/ # API route handlers
│ │ ├── training.py
│ │ ├── models.py
│ │ ├── inference.py
│ │ ├── datasets.py
│ │ └── auth.py
│ ├── models/ # Pydantic request/response schemas
│ ├── core/ # Training engine & config
│ ├── utils/ # Hardware detection, helpers
│ └── requirements.txt
├── frontend/
│ ├── src/
│ │ ├── features/ # Feature modules
│ │ │ ├── auth/ # Login / signup flow
│ │ │ ├── training/ # Training config & monitoring
│ │ │ ├── studio/ # Main studio workspace
│ │ │ ├── chat/ # Inference chat UI
│ │ │ ├── export/ # Model export flow
│ │ │ └── onboarding/# Onboarding wizard
│ │ ├── components/ # Shared UI components (shadcn)
│ │ ├── hooks/ # Custom React hooks
│ │ ├── stores/ # Zustand state stores
│ │ └── types/ # TypeScript type definitions
│ ├── package.json
│ └── vite.config.ts
└── tests/ # Backend test suite
```
## License
This project is licensed under the [GNU Affero General Public License v3.0 (AGPL-3.0)](https://www.gnu.org/licenses/agpl-3.0.html).
Copyright © 2026 Unsloth AI.