— ML / Fine-tuning

Unsloth

Last updated July 14, 2026 · Reviewed by ToolForge Editorial

Fine-tune Llama, Mistral, and Gemma in a Colab notebook — without melting your GPU.

★ 4.8/5 · 500k+ installs · Since 2023 · Open source
Free OSS · Pro from $0
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What Unsloth is for

Unsloth rewrites the kernels behind popular fine-tuning libraries so you can train open models dramatically faster and on much smaller GPUs.

Who it's for: Researchers and builders who want custom models without a cluster.

Key features

Feature 2x Faster

Hand-written Triton kernels speed up training.

Feature 70% Less VRAM

Fine-tune 7B on a single 16GB GPU.

Feature Open Models

Llama, Mistral, Gemma, Qwen, Phi.

Feature Notebooks

One-cell Colab and Kaggle workflows.

The honest take

✓ What works

  • Massive VRAM savings
  • Free and open source
  • Beginner-friendly
  • Hugging Face native

✗ What doesn't

  • GPU-only (no CPU)
  • Advanced configs need know-how
  • Pro tier for some features
  • Linux/Mac focus

Verdict

Unsloth is the easiest way to fine-tune open models in 2026. If you have a consumer GPU and a dataset, you can have a custom model today.

💡 Transparency: This review contains affiliate links. If you sign up through our link, we may earn a commission at no cost to you. We only recommend tools we use ourselves. Full disclosure.

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