Unsloth Studio lets you run and train models locally.

Features • Quickstart • Notebooks • Documentation

⚡ Get started

macOS, Linux, WSL:

curl -fsSL https://unsloth.ai/install.sh | sh

Windows:

irm https://unsloth.ai/install.ps1 | iex

Community:

• Discord
• 𝕏 (Twitter)
• Reddit

⭐ Features

Unsloth Studio (Beta) lets you run and train text, audio, embedding, vision models on Windows, Linux and macOS.

Inference

• Search + download + run models including GGUF, LoRA adapters, safetensors
• Export models: Save or export models to GGUF, 16-bit safetensors and other formats.
• Tool calling: Support for self-healing tool calling and web search
• Code execution: lets LLMs test code in Claude artifacts and sandbox environments
• API inference endpoint: Deploy and run local LLMs in Claude Code, Codex tools with Unsloth
• Auto set inference settings and customize chat templates.
• We work directly with teams behind gpt-oss, Qwen3, Llama 4, Mistral, Gemma 1-3, and Phi-4, where we’ve fixed bugs that improve model accuracy.
• Chat with images, audio, PDFs, code, DOCX and more. Connect API providers (OpenAI, Anthropic) or servers (vLLM, Ollama).

Training

• Train and RL 500+ models up to 2x faster with up to 70% less VRAM, with no accuracy loss.
• Custom Triton and mathematical kernels. See some collabs we did with PyTorch and Hugging Face.
• Data Recipes: Auto-create datasets from PDF, CSV, DOCX etc. Edit data in a visual-node workflow.
• Reinforcement Learning (RL): The most efficient RL library, using 80% less VRAM for GRPO,