Unsloth AI

Unsloth AI

4.5
(150 reviews)

Train Faster, Fine-tune Smarter with Unsloth AI

Unsloth AI offers open-source fine-tuning and reinforcement learning for various LLMs, achieving training speeds up to 30x faster than Flash Attention 2. It is beginner-friendly and supports multiple GPU systems while being portable across different hardware.

Smart AssistantsData Analysis & ML ModelsOpen sourcefine-tuningreinforcement learning

Overview

Unsloth AI is an open-source platform designed for fine-tuning and reinforcement learning (RL) of various large language models (LLMs) including gpt-oss, Llama 4, DeepSeek-R1, Gemma, and Qwen3. It is beginner-friendly and enhances training speed significantly by manually deriving compute-heavy mathematical steps and handwriting GPU kernels, allowing for faster training without any hardware changes.

Key features of Unsloth AI include support for NVIDIA GPUs ranging from Tesla T4 to H100, compatibility with AMD and Intel GPUs, and the ability to fine-tune models 2X faster on a single NVIDIA GPU for free via Google Colab or Kaggle Notebooks. The platform boasts training speeds that are 10x faster on a single GPU and up to 30x faster on multiple GPU systems compared to Flash Attention 2 (FA2), with 90% less memory usage.

Unsloth AI targets developers and teams looking to train custom models quickly and efficiently. The main benefits include the ability to train models in just 24 hours instead of 30 days, enhanced accuracy, and reduced memory requirements, making it an ideal solution for various use cases in machine learning.

Screenshots & Videos

Homepage screenshot of https://unsloth.ai/

Pricing Plans

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Pros (7)

  • 10x faster on a single GPU compared to Flash Attention 2 (FA2)
  • Up to 30x faster on multiple GPU systems compared to Flash Attention 2 (FA2)
  • Supports NVIDIA GPUs from Tesla T4 to H100, and is portable to AMD and Intel GPUs
  • Finetune 2X faster on a single NVIDIA GPU for free on Google Colab or Kaggle Notebooks
  • 90% less memory usage than FA2
  • Train your own custom model in 24 hrs, not 30 days
  • Open-source and beginner friendly

Cons (3)

  • MultiGPU support is coming soon
  • Limited to specific GPU models for optimal performance
  • No mention of support for certain other LLMs outside of listed models

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