Use our Docker imageunsloth/unsloth. On Linux, set up GPU access once with curl -fsSL https://raw.githubusercontent.com/unslothai/unsloth/main/docker/install_nvidia_toolkit.sh -o install_nvidia_toolkit.sh && sudo -E bash install_nvidia_toolkit.sh (Windows: Docker Desktop with WSL 2). Run:
Follow startup with docker logs -f. Studio is at http://localhost:8000 (user unsloth), JupyterLab at http://localhost:8888. Tags (unsloth/unsloth:core for notebooks only), GPU support and options: Docker Hub.
Remote HTTPS & LAN Access
Server-side tools are on by default - so be careful! Keep your password safe, or use --disable-tools when exposing Unsloth.
Global HTTPS Access:
Creates a free Cloudflare link that serves Unsloth - you can access the link globally (even on your phone!)
unsloth studio --secure
-H 0.0.0.0 and different ports also work:
unsloth studio -H 0.0.0.0 -p 8888
LAN Access (home network): Settings > API keys > LAN access
Password management & headless starts
Headless starts:
UNSLOTH_STUDIO_PASSWORD='your-strong-password' unsloth studio --secure # via env var
Reset your password:
unsloth studio reset-password
Developer, Nightly, Uninstall
To see developer, nightly and uninstallation etc. instructions, see advanced installation.
AMD training: Train, run RL, chat and deploy on AMD GPUs across Windows, WSL and Linux. Guide
Local models for any agent: Use unsloth start with Claude Code, Codex, Hermes, OpenCode, OpenClaw, DeepSeek Harness and more through Unsloth's OpenAI- and Anthropic-compatible APIs. Guide
GLM-5.2: Run Z.ai's 744B-parameter, 1M-context open model locally with Unsloth Dynamic GGUFs. Guide
DeepSeek-V4: Run DeepSeek-V4-Flash locally with corrected multi-turn and tool-calling behavior. Guide
Gemma 4: Run and train Gemma 4 text, image and audio models with QAT, MTP, GGUF and MLX support. Guide
MCP servers: Connect local models to files, apps, databases and external tools through Model Context Protocol. Guide
Keep the install-time package cache under the Studio directory instead of reusing an existing uv cache. Downloads are slower the first time, and an explicit UV_CACHE_DIR still wins over this:
curl -fsSL https://unsloth.ai/install.sh | UNSLOTH_ISOLATE_UV_CACHE=1 sh
You can delete old model files either from the bin icon in model search or by removing the relevant cached model folder from the default Hugging Face cache directory. By default, HF uses:
MacOS, Linux, WSL:~/.cache/huggingface/hub/
Windows:%USERPROFILE%\.cache\huggingface\hub\
💚 Community and Links
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What is this?Unsloth is a local-first app for running and training LLMs, diffusion, TTS and embedding models on your own machine, including models like Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4 and FLUX.
Is this a desktop app, a web UI, or a coding library?It ships as three things: Unsloth Desktop, a native app; Unsloth Studio, a self-hosted web UI; and Unsloth Core, the code-based Python library for scripted training.
Do I need a specific GPU brand to use it?No single vendor is required: Unsloth supports multi-GPU setups on NVIDIA, AMD and Intel GPUs, plain CPUs and a Vulkan backend, with dedicated guides for AMD, Intel, DGX Spark and Blackwell hardware.
Is it safe to expose Unsloth Studio to the internet by default?Not out of the box: server-side tools are enabled by default when you expose Studio remotely, so you need to keep your password safe or launch it with --disable-tools.
What is Unsloth Start?Unsloth Start is a one-command bridge that connects coding agents such as Claude Code, Codex, Hermes Agent, OpenClaw, OpenCode and DeepSeek Harness to your local models, e.g. 'unsloth start claude'.
How much faster is fine-tuning with Unsloth?Unsloth fine-tunes models 2x faster using up to 70% less VRAM with no accuracy loss, and can train MoE LLMs like DeepSeek, GLM and Qwen 12x faster with 35% less VRAM.
Can I mix local models with cloud API providers?Yes, Unsloth lets you mix local models with cloud providers like OpenAI and Anthropic, or servers like vLLM and Ollama, inside the same interface.
What training methods does it support beyond basic fine-tuning?It supports LoRA, QLoRA, full fine-tuning, pretraining, reinforcement learning, GRPO, DPO and FP8 training, plus exporting to GGUF, NVFP4 and other formats.
Unsloth is a local-first app for running and training LLMs, diffusion, TTS and embedding models on your own machine, including models like Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4 and FLUX.