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unsloth-zoo

Utils for Unsloth

  • 2024.11.6
  • PyPI
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Unsloth Zoo - Utils for Unsloth!

✨ Finetune for Free

All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, Ollama, vLLM or uploaded to Hugging Face.

Unsloth supportsFree NotebooksPerformanceMemory use
Llama 3.2 (3B)▶️ Start for free2x faster60% less
Llama 3.1 (8B)▶️ Start for free2x faster60% less
Phi-3.5 (mini)▶️ Start for free2x faster50% less
Gemma 2 (9B)▶️ Start for free2x faster63% less
Mistral Small (22B)▶️ Start for free2x faster60% less
Ollama▶️ Start for free1.9x faster43% less
Mistral v0.3 (7B)▶️ Start for free2.2x faster73% less
ORPO▶️ Start for free1.9x faster43% less
DPO Zephyr▶️ Start for free1.9x faster43% less
TypeLinks
📚 Documentation & WikiRead Our Docs
  Twitter (aka X)Follow us on X
💾 Installationunsloth/README.md
🥇 BenchmarkingPerformance Tables
🌐 Released ModelsUnsloth Releases
✍️ BlogRead our Blogs

⭐ Key Features

  • All kernels written in OpenAI's Triton language. Manual backprop engine.
  • 0% loss in accuracy - no approximation methods - all exact.
  • No change of hardware. Supports NVIDIA GPUs since 2018+. Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20, 30, 40x, A100, H100, L40 etc) Check your GPU! GTX 1070, 1080 works, but is slow.
  • Works on Linux and Windows via WSL.
  • Supports 4bit and 16bit QLoRA / LoRA finetuning via bitsandbytes.
  • Open source trains 5x faster - see Unsloth Pro for up to 30x faster training!
  • If you trained a model with 🦥Unsloth, you can use this cool sticker!  

💾 Installation Instructions

These are utilities for Unsloth, so install Unsloth as well! For stable releases for Unsloth Zoo, use pip install unsloth_zoo. We recommend pip install "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo.git" for most installations though.

pip install unsloth_zoo

License

Unsloth Zoo is licensed under the GNU Affero General Public License.

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