Unsloth Studio

Today, we’re launching Unsloth Studio (Beta): an open-source, no-code web UI for training, running and exporting open models in one unified local interface.

Run GGUF and safetensor models locally on Mac, Windows, Linux. Train 500+ models 2x faster with 70% less VRAM (no accuracy loss). Run and train text, vision, TTS audio, embedding models.

Features

Run models locally

Search and run GGUF and safetensor models with self-healing tool calling / web search, auto inference parameter tuning, code execution and APIs (very soon). Upload images, docs, audio, code files. Battle models side by side. Powered by llama.cpp + Hugging Face, we support multi-GPU inference and most models.

No-code training

Upload PDF, CSV, JSON docs, or YAML configs and start training instantly on NVIDIA. Unsloth’s kernels optimize LoRA, FP8, FFT, PT across 500+ text, vision, TTS/audio and embedding models. Fine-tune the latest LLMs like Qwen3.5 and NVIDIA Nemotron 3. Multi-GPU works automatically, with a new version coming.

Data Recipes

Data Recipes transforms your docs into useable / synthetic datasets via graph-node workflow. Upload unstructured or structured files like PDFs, CSV and JSON. Unsloth Data Recipes, powered by NVIDIA DataDesigner, auto turns documents into your desired formats.

Observability

Gain complete visibility into and control over your training runs. Track training loss, gradient norms, and GPU utilization in real time, and customize to your liking. You can even view the training progress on other devices like your phone.

Export / Save models

Export any model, including your fine-tuned models, to safetensors, or GGUF for use with llama.cpp, vLLM, Ollama, LM Studio, and more. Stores your training history, so you can revisit runs, export again and experiment.

Model Arena

Chat with and compare 2 different models, such as a base model and a fine-tuned one, to see how their outputs differ.

Quickstart

Unsloth Studio works on Windows, Linux, WSL and MacOS (chat only currently).

• Training: Works on NVIDIA GPUs: RTX 30, 40, 50, Blackwell, DGX Spark/Station etc.
• Mac: Like CPU - Chat only works for now. MLX training coming very soon.
• Coming soon: Support for Apple MLX, AMD, and Intel.
• Multi-GPU: Works already, with a major upgrade on the way.

FAQ

• Does Unsloth collect or store data? We do not collect usage telemetry. Unsloth Studio runs 100% offline and locally.
• Is Unsloth now licensed under AGPL-3.0? No. The main Unsloth package is still licensed under Apache 2.0. Only certain optional components, such as the Unsloth Studio UI, are under the AGPL-3.0 open-source license.
• Does Studio only support LLMs? No. Studio supports a range of supported transformers compatible model families, including text, multimodal models, text-to-speech, audio, embeddings, and BERT-style models.