# Unsloth Studio Training

> Unsloth Studio Training

- Skill: `mkurman/unsloth-studio-training` (Agent Skill, multi-file: 9 files)
- Install (CLI): `npx skillmds@latest add mkurman/unsloth-studio-training`
- Raw SKILL.md: https://api.skillmd.com/api/skills/mkurman/unsloth-studio-training/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: mkurman (https://skillmd.com/u/mkurman)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/mkurman/unsloth-studio-training

---


# Unsloth Studio Training

Manage LLM fine-tuning jobs through Unsloth Studio's local web UI and API.

## Quick Start

```bash
# Check if studio is running
curl -s http://localhost:8888/api/health | jq

# Login and get token
RESPONSE=$(curl -s -X POST http://localhost:8888/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{"username": "admin", "password": "your-password"}')
export UNSLOTH_STUDIO_TOKEN=$(echo $RESPONSE | jq -r '.access_token')

# Start training
curl -X POST http://localhost:8888/api/train/start \
  -H "Authorization: Bearer $UNSLOTH_STUDIO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model_name": "unsloth/llama-3.2-3b-instruct-bnb-4bit", ...}'
```

## Workflow

```
1. Docker Setup     → [docker.md](references/docker.md)
2. Authenticate     → [authentication.md](references/authentication.md)
3. Prepare Dataset  → [datasets.md](references/datasets.md)
4. Train Model      → [training.md](references/training.md)
5. Export Model     → [export.md](references/export.md)
6. Run Inference    → [inference.md](references/inference.md)
```

## Reference Files

| File | Purpose |
|------|---------|
| [docker.md](references/docker.md) | Docker discovery, setup, container management |
| [authentication.md](references/authentication.md) | JWT auth, login/signup, token refresh |
| [training.md](references/training.md) | Start/stop jobs, monitor progress, hyperparams |
| [datasets.md](references/datasets.md) | Upload, list, format datasets |
| [export.md](references/export.md) | GGUF, merged, LoRA export, HF Hub |
| [inference.md](references/inference.md) | Chat completion, streaming, tools |
| [data-recipes.md](references/data-recipes.md) | Dataset creation workflow |
| [cli.md](references/cli.md) | Command-line reference |

## API Endpoints

| Method | Endpoint | Description |
|--------|----------|-------------|
| `GET` | `/api/health` | Health check |
| `POST` | `/api/auth/login` | Login |
| `POST` | `/api/train/start` | Start training |
| `GET` | `/api/train/stream` | SSE progress stream |
| `POST` | `/api/train/stop` | Stop training |
| `GET` | `/api/models/` | List models |
| `GET` | `/api/datasets/` | List datasets |
| `POST` | `/api/inference/chat` | Chat inference |

## Training Methods

| Method | VRAM (7B) | Description |
|--------|-----------|-------------|
| `qlora` | ~4GB | 4-bit quantized + LoRA |
| `lora` | ~16GB | Full precision + LoRA |
| `full` | ~28GB | All weights trained |

## Environment Variables

```bash
UNSLOTH_STUDIO_URL=http://localhost:8888
UNSLOTH_STUDIO_TOKEN=<jwt_token>
```

## Related Docs

- [Unsloth Studio Docs](https://unsloth.ai/docs/new/studio)
- [Getting Started](https://unsloth.ai/docs/new/studio/start)
- [Data Recipes](https://unsloth.ai/docs/new/studio/data-recipe)