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Unsloth AI

Open-source LLM fine-tuning and reinforcement learning framework for faster training.

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Intro

What is Unsloth AI?

Unsloth AI is an open-source LLM training and fine-tuning framework designed to make large language models faster and more memory-efficient. By manually deriving compute-heavy mathematical steps and handwriting GPU kernels, it speeds up training processes for cutting-edge architectures like Gemma 3, Gemma 3n, Qwen3, unsloth qwen3, and DeepSeek-R1. The platform allows developers to train custom models significantly faster than Flash Attention 2 while consuming up to 90% less memory. It provides extensive support for various training techniques, including unsloth grpo (Group Relative Policy Optimization) for reinforcement learning, as well as TTS, BERT, and Full Fine-Tuning (FFT).

Unsloth AI at a glance
Free open-source tier, Pro and Enterprise require contacting sales1.1M monthly visitsHas free access
Pricing

Unsloth AI Pricing Plans

Compare Unsloth AI free options, Unsloth AI paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free open-source tier, Pro and Enterprise require contacting sales

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Freeware standard open-source version. Supports Mistral, Gemma, Llama 1, 2, 3, and 4-bit/16-bit LoRA. Multi-GPU coming soon.

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2.5x faster training + 20% less VRAM than the open-source version. Enhanced Multi-GPU support up to 8 GPUs.

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Unlock 30x faster training, multi-node support, up to +30% accuracy, 5x faster inference, full training support, and dedicated customer support.

Pricing updated:Jun 11, 2026

Features

Unsloth AI AI Features

Up to 30x faster training than Flash Attention 2 (FA2)90% less memory usage on standard open-source setupsHandwritten custom GPU kernels for optimized mathematical computationSupports reinforcement learning algorithms including GRPOBroad hardware compatibility with NVIDIA, AMD, and Intel GPUsSupport for 4-bit and 16-bit LoRA, TTS, BERT, and Full Fine-Tuning
Pros & Cons

Unsloth AI Pros and Cons

Pros

  • Massive reduction in VRAM consumption
  • Significantly reduces training time and hardware costs
  • Free open-source version works natively on Google Colab and Kaggle
  • Supports leading open-source models like Llama 4, DeepSeek-R1, and Mistral

Limitations

  • Multi-GPU support is restricted or coming soon on the free open-source tier
  • Advanced enterprise scaling requires custom contact and pricing

Unsloth AI FAQ

Unsloth supports a wide variety of popular open-source architectures including Llama 4, DeepSeek-R1, Mistral, Qwen3, and Gemma 3n unsloth configurations, allowing optimized fine-tuning across different parameter scales.