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A PyTorch microframework for foundation model adaptation material/water-outline

Refiners logo{: style="display: block; margin-left: auto; margin-right: auto; width: 400px;"}

The simplest way to train and run adapters on top of foundation models.

dependencies - Rye linting - Ruff packaging - Hatch PyPI - Python Version PyPI - Status license
code bounties Discord HuggingFace - Refiners HuggingFace - Finegrain ComfyUI Registry

At the era of foundation models, adaptation is quickly rising at the method of choice for bridging the last mile quality gap. We couldn't find a framework with first class citizen APIs for foundation model adaptation, so we created one. It's called Refiners, and we're building it on top of PyTorch, in the open, under the MIT License. Read our manifesto.