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Utils for Unsloth

Project description

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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 supports Free Notebooks Performance Memory use
Llama 3.2 (3B) ▶️ Start for free 2x faster 60% less
Llama 3.1 (8B) ▶️ Start for free 2x faster 60% less
Phi-3.5 (mini) ▶️ Start for free 2x faster 50% less
Gemma 2 (9B) ▶️ Start for free 2x faster 63% less
Mistral Small (22B) ▶️ Start for free 2x faster 60% less
Ollama ▶️ Start for free 1.9x faster 43% less
Mistral v0.3 (7B) ▶️ Start for free 2.2x faster 73% less
ORPO ▶️ Start for free 1.9x faster 43% less
DPO Zephyr ▶️ Start for free 1.9x faster 43% less

🔗 Links and Resources

Type Links
📚 Documentation & Wiki Read Our Docs
  Twitter (aka X) Follow us on X
💾 Installation unsloth/README.md
🥇 Benchmarking Performance Tables
🌐 Released Models Unsloth Releases
✍️ Blog Read 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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