The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.
Open models & inferencehuggingface
peft
A parameter-efficient fine-tuning library: LoRA and related methods train only a small fraction of the weights. Large models fine-tune on consumer hardware.
Who it is for
For Python developers fine-tuning models who watch their memory budget.
How to start
- Install:
pip install peft. - Wrap your model following the Quickstart example and train it on your data.
- Save the adapter and attach it to the base model at inference.
Steps are taken from the README. Check the current version in the repository before running them.
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Author's description
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
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