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Unsloth

Train and run open models locally with no-code UI

Model TrainingFreemiumOpen Source
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Unsloth is an open-source, no-code web UI for training, running and exporting open models in one unified local interface.

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Unsloth Overview

What is Unsloth?

Unsloth is an open-source, no-code web UI for training, running and exporting open models locally on your own hardware.

How to use Unsloth?

Download Unsloth Studio for Mac or Windows, load a GGUF or Safetensors model, create datasets from documents using Data Recipes, train with no-code controls, compare models in Model Arena, and export to standard formats.

Core features of Unsloth

  • No-code training with real-time observability
  • Model Arena for side-by-side comparison
  • Data Recipes to auto-create datasets from PDFs, CSVs, JSONs
  • Export to safetensors or GGUF for Ollama, vLLM, etc.
  • Run 100% offline on Mac and Windows
  • OpenAI-compatible API and tool-calling support

Target audience of Unsloth

AI DevelopersDevelopersResearchers

Use cases of Unsloth

  • #1Fine-tune open models locally without coding
  • #2Compare base and fine-tuned models side by side
  • #3Turn business documents into training datasets
  • #4Export trained models for deployment with llama.cpp or vLLM
  • #5Run open models offline for privacy-critical tasks

Unsloth Details

Unsloth provides a no-code web UI called Unsloth Studio that runs 100% offline on Mac and Windows. It supports loading GGUF and Safetensors models, tool-calling, web search, an OpenAI-compatible API, side-by-side model comparison (Model Arena), and uploading images, docs, audio, and code. For training, it offers auto-creation of datasets from PDF, CSV, and JSON files via Data Recipes, with real-time observability. Custom kernels enable optimized training for LoRA, FP8, FFT, PT, and 500+ models including text, vision, audio, and embeddings. Models can be exported to safetensors or GGUF for use with llama.cpp, vLLM, Ollama, and more. The open-source version is free on GitHub and Google Colab; Pro and Enterprise plans with faster training, lower memory usage, and multi-GPU support are available by contacting the team.

Unsloth Pricing

Pricing model
Freemium
Starting price
Free
Free
Freeware standard version
Free
Pro
2.5x faster training, 20% less VRAM, enhanced MultiGPU
Contact for Pricing
Enterprise
30x faster training, multi-node support, 30% accuracy
Contact for Pricing

Unsloth Website Traffic Analysis

Visit Over Time

Monthly Visits1.6M
Avg. Visit Duration02:10
Page per Visit2.76
Bounce Rate49.32%
Feb 2026 - Apr 2026 All Traffic

Geography

Top 5 Regions

📍China
24.21%
📍United States
12.39%
📍India
5.09%
📍Vietnam
4.76%
📍Korea, Republic of
4.13%
Feb 2026 - Apr 2026 Desktop Only

Traffic Sources

search
42.68%
direct
30.66%
referrals
15.90%
social
8.81%
mail
0.53%
paidReferrals
0.25%
Feb 2026 - Apr 2026 Worldwide Desktop Only

Top Keywords

KeywordTrafficCost Per Click
unsloth78.3K$ 3.02
unsloth studio39.9K--
gemma 41.8M--
glm 5.1380.4K--
gemma4440.6K--

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