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Fine-tuningFreeOpen Source
AUTOTRAIN ADVANCED
Fine-tune any Hugging Face model with zero code
Apache 2.0
ABOUT
Fine-tuning large language models traditionally requires deep expertise in training pipelines, hyperparameter tuning, GPU memory optimization, and distributed computing — creating a significant barrier for many developers and organizations. AutoTrain Advanced abstracts away this complexity with a configuration-driven approach and optional Web UI, enabling anyone to fine-tune models on custom data using best practices automatically. It supports multiple alignment methods (SFT, DPO, ORPO, Reward) and integrates seamlessly with the Hugging Face ecosystem for model hosting and sharing.
INSTALL
pip install autotrain-advancedINTEGRATION GUIDE
1. Fine-tune an LLM on custom instruction-following data using Supervised Fine-Tuning (SFT)
2. Align a model with human preferences using Direct Preference Optimization (DPO)
3. Train a reward model for RLHF pipelines
4. Fine-tune vision, text classification, or tabular models without writing training code
5. Quickly iterate on model versions using the AutoTrain Web UI or configuration files
TAGS
fine-tuningllmno-codehuggingfacesftdpoorpoautomlpython