{"id":4835,"library":"unsloth-zoo","title":"Unsloth Zoo","description":"Unsloth Zoo provides a collection of plug-and-play utilities and example modules designed to work with the Unsloth library for efficient LLM fine-tuning. It includes components for dataset loading, SFT (Supervised Fine-Tuning) trainers, tokenizer utilities, and metrics. As of version 2026.4.6, it aims to simplify and standardize common LLM fine-tuning workflows built on Unsloth, with frequent updates aligning with Unsloth's development.","status":"active","version":"2026.4.6","language":"en","source_language":"en","source_url":"https://github.com/unslothai/unsloth-zoo","tags":["AI","ML","LLM","Fine-tuning","Unsloth","Utilities"],"install":[{"cmd":"pip install unsloth-zoo","lang":"bash","label":"Install Unsloth Zoo"}],"dependencies":[{"reason":"Core functionality relies heavily on the Unsloth library for LLM fine-tuning.","package":"unsloth","optional":false},{"reason":"Unsloth (and thus unsloth-zoo) requires PyTorch for GPU acceleration.","package":"torch","optional":false},{"reason":"Leverages Hugging Face Transformers for models and tokenizers.","package":"transformers","optional":false}],"imports":[{"symbol":"Trainer","correct":"from unsloth_zoo.sft.trainer import Trainer"},{"symbol":"load_dataset","correct":"from unsloth_zoo.data.loader import load_dataset"},{"note":"DatasetConfig is nested within the 'configs' submodule, not directly under 'data'.","wrong":"from unsloth_zoo.data import DatasetConfig","symbol":"DatasetConfig","correct":"from unsloth_zoo.data.configs import DatasetConfig"}],"quickstart":{"code":"from unsloth_zoo.data.configs import DatasetConfig\nfrom unsloth_zoo.data.loader import load_dataset\n\n# Configure a dataset, e.g., using a predefined template\nconfig = DatasetConfig(dataset_name=\"alpaca_template\")\n\n# Load the dataset\ndataset = load_dataset(config)\n\nprint(f\"Loaded dataset with {len(dataset)} examples.\")\nif len(dataset) > 0:\n    print(\"First example:\")\n    print(dataset[0])","lang":"python","description":"This quickstart demonstrates how to load a dataset using Unsloth Zoo's data loading utilities. It configures a dataset using a `DatasetConfig` and then loads it with `load_dataset`, showcasing a common first step in preparing data for fine-tuning."},"warnings":[{"fix":"Always install `unsloth-zoo` and `unsloth` together, preferably ensuring they are compatible. Refer to the `unsloth-zoo` README or `unsloth` documentation for recommended version pairings. Frequently update both libraries to their latest compatible versions.","message":"Unsloth Zoo's API and underlying logic are tightly coupled with the `unsloth` library. Major and even minor version updates of `unsloth` can introduce breaking changes that require `unsloth-zoo` to be updated simultaneously. Mismatched versions can lead to runtime errors or incorrect behavior.","severity":"breaking","affected_versions":"All versions"},{"fix":"Review the source code or documentation for the specific `DatasetConfig` template you are using to understand the expected format. Validate your custom dataset's structure before loading it with `unsloth_zoo.data.loader`.","message":"Dataset templates provided by `unsloth_zoo.data` expect specific JSON or text formats. When using custom datasets, ensure they strictly adhere to these templates (e.g., 'instruction', 'input', 'output' fields for chat templates) to avoid parsing errors or incorrect model training.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Ensure your system meets `unsloth`'s GPU requirements. Verify `bitsandbytes` is installed for quantization. Follow `unsloth`'s official installation instructions for your specific CUDA/PyTorch setup before attempting to use `unsloth-zoo`.","message":"Performance and resource usage of `unsloth-zoo` modules are heavily dependent on the `unsloth` backend and correct GPU setup. Misconfigurations (e.g., incorrect CUDA version, missing `bitsandbytes` installation, incompatible PyTorch) will result in poor performance or errors.","severity":"gotcha","affected_versions":"All versions"}],"env_vars":null,"last_verified":"2026-04-12T00:00:00.000Z","next_check":"2026-07-11T00:00:00.000Z"}