Unsloth AI

What if you could train your own custom AI model in 24 hours instead of 30 days?

RecommendedUnsloth offers a powerful, optimized local solution for AI model training and inference, significantly reducing resource demands and accelerating development with a comprehensive no-code UI.

Unsloth is an open-source framework and web UI (Unsloth Studio) designed to run and train AI models locally on Mac, Windows, and Linux devices. It optimizes training for LoRA, FP8, FFT, and PT across over 500 models, including text, vision, audio, and embeddings, offering significant speed and memory efficiency improvements.

Visit Unsloth AI
Screenshot of Unsloth AIVisit Unsloth AI
Key Features:
  • Local AI Model Training & Inference (100% offline)
  • Unsloth Studio: No-code web UI for training, running, and exporting models
  • Optimized Training: 2x faster, 70% less VRAM for 500+ models (LoRA, FP8, FFT, PT)
  • Data Recipes: Auto-create datasets from PDF, CSV, JSON, DOCX, TXT
  • OpenAI-compatible API endpoint for local LLMs with tool-calling, web search, and code execution
Pros
  • Developers and researchers needing to fine-tune LLMs quickly on local hardware.
  • Users wanting to run GGUF and Safetensors models offline with advanced features.
  • Teams looking to auto-create datasets from various document types for training.
Cons
  • Beta version of Unsloth Studio, so expect ongoing improvements and fixes.
  • MTP (Multi Token Prediction) uses slightly more VRAM than standard GGUFs (~1 GB additional).
  • Some features like multi-GPU support are still being enhanced.
Pricing
freemiumFree tier
Starting at:Contact us
Free tier:Open-source, supports Mistral, Gemma, Llama 1, 2, 3, 4-bit, 16-bit LoRA, single GPU
Plans
  • Free: Open-source, supports Mistral, Gemma, Llama 1, 2, 3, 4-bit, 16-bit LoRA, single GPU
  • Unsloth Pro: 2.5x faster training, 20% less memory than OSS, enhanced MultiGPU (up to 8 GPUs)
  • Unsloth Enterprise: 32x faster training, up to +30% accuracy, 5x faster inference, multi-node support, customer support
Categories:
AI InfrastructureCode & DevelopmentChatbots & Assistants
Tags:
LLMfine-tuninglocal inferenceGGUFsafetensorsno-codeopen-sourceGPU optimizationdata preparationmodel exporttool callingweb searchcode execution
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Quick Decision
Try if: You need to fine-tune or run large language models locally with maximum efficiency, speed, and a user-friendly interface, especially if you have compatible GPU hardware.
Skip if: You primarily rely on cloud-based AI services, do not have local GPU resources, or require a fully stable, non-beta product for critical operations.
Not for: Users without access to NVIDIA, Intel, or Apple Silicon GPUs for training.; Those who prefer cloud-based AI model training and inference exclusively.
Trust Signals

  • Founded

    2023

  • Team Size

    small
Tech Details
Platforms
webapidesktop
Integrations
llama.cppvLLMOllamaLM StudioClaude CodeOpenAI CodexOpenClawOpenCodePython SDKCurl & HTTPVS CodeOpen WebUICursorContinueClineSillyTavern

  • AI Model

    Supports 500+ models including Mistral, Gemma, Llama, Qwen, Nemotron
Open Source
Yes
Support
Channels
discordemailgithub_issues
Company

  • Name

    Unsloth

Unsloth was started by two brothers, Daniel Han (Software, Data, Algorithms) and Michael Han (Design, Product, Engineer), who also created HyperLearn. They aim to make AI more accessible by optimizing model training and running.

FAQ

Does Unsloth collect or store data?

Unsloth does not collect usage telemetry. It only collects minimal hardware information for compatibility (e.g., GPU type). Unsloth Studio runs 100% offline and locally.

Can I use my existing GGUF models with Unsloth Studio?

Yes, you can use pre-existing or old models and GGUFs that you previously downloaded from Hugging Face. They should be automatically detected by Unsloth, or you can follow specific instructions if needed.

Is Unsloth Studio free to use?

Unsloth Studio is part of Unsloth's dual-licensing model. The core Unsloth package is Apache 2.0, while the Studio UI is AGPL-3.0. There is a free tier for the standard version of Unsloth, with Pro and Enterprise plans available for enhanced features.

What kind of models can Unsloth train and run?

Unsloth supports a wide range of models including text, vision, audio (TTS), embedding, and multimodal models. It is compatible with over 500 models from various families like Mistral, Gemma, Llama, and Qwen.

What are the hardware requirements for Unsloth?

Unsloth Studio works on Windows, Linux, WSL, and MacOS. Training is supported on NVIDIA (RTX 30, 40, 50, Blackwell, DGX Spark/Station) and Intel GPUs. MLX and GGUF inference are supported on Mac. AMD chat works, with training support coming soon. Multi-GPU is supported.

Use Cases
  • Developers and researchers needing to fine-tune LLMs quickly on local hardware.
  • Users wanting to run GGUF and Safetensors models offline with advanced features.
  • Teams looking to auto-create datasets from various document types for training.
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