unsloth

Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

⭐ 65,024 stars on GitHub · 🍴 5,765 forks · 📜 License: apache-2.0 · 💻 Language: Python

What is unsloth?

Running and fine-tuning large language models locally usually requires wrestling with complex CLI tools and massive VRAM overheads. Unsloth Studio packages inference, reinforcement learning, and fine-tuning into a clean web UI that slashes memory

Topics: the project is tagged with popular topics:

• 🏷️ agent
• 🏷️ deepseek
• 🏷️ fine-tuning
• 🏷️ gemma
• 🏷️ gemma3
• 🏷️ gpt-oss
• 🏷️ llama
• 🏷️ llama3
• 🏷️ llm
• 🏷️ llms

📸 Screenshots


Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/unslothai/unsloth.git
cd unsloth
docker build -t unsloth .
docker run -d -p 8080:8080 unsloth

Minimum system requirements

⚡ Deploy fast on VSIS

Use the VSIS VPS Lite 2GB RAM / 2 vCPU / 25GB SSD (~104k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running unsloth smoothly.

🎯 Benefits:

• One-command docker compose up -d deploy in 2 minutes
• Dedicated IPv4, root access, unmetered domestic bandwidth
• Daily snapshot backup
• Free install assistance from the VSIS team

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Resources

• 🔗 GitHub: unslothai/unsloth
• 🌐 Homepage: https://unsloth.ai/docs
• 📚 Official docs: see README in the repo
• 💬 Community: GitHub Issues + Discussions

Article compiled from GitHub data on 23/05/2026. Star/fork counts may have changed — see live numbers via the GitHub link.