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Library / SDK Fine-tuning & Training

Argilla

1Collaborative 2tool 3for 4building 5training 6datasets

the six Ws · specification

W1 Who

Argilla, now part of Hugging Face, develops Argilla as a data-annotation collaboration tool.

W2 What

Argilla lets engineers and domain experts label and curate high-quality datasets for classification, RAG, preference tuning, and multimodal models.

W3 Where

Hosted on GitHub under argilla-io, deployable via Docker or Hugging Face Spaces.

W4 When

First released in 2021, with continued development after joining Hugging Face in 2024.

W5 Why

Built to streamline human-in-the-loop feedback collection for fine-tuning and evaluation datasets.

W6 With

Installs via pip, runs as a server with a Python SDK, integrates with the Hugging Face Hub.

W7 Watch

Open source under Apache 2.0, self-hosted or via Hugging Face Spaces, no credentials required for local use; maintained by Hugging Face.

data-annotationhuman-feedbackdataset-curationRLHFHugging-Face

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