--- draft: false title: "Introducing the Quaterion: a framework for fine-tuning similarity learning models" slug: quaterion short_description: Please meet Quaterion—a framework for training and fine-tuning similarity learning models. description: We're happy to share the result of the work we've been into during the last months - [Quaterion](https://quaterion.qdrant.tech/). It is a framework for fine-tuning similarity learning models that streamlines the training process to make it significantly faster and cost-efficient. preview_image: /blog_data/from_cms/new-cmp-demo.gif date: 2022-06-28T12:48:36.622Z author: Andrey Vasnetsov author_link: https://www.linkedin.com/in/andrey-vasnetsov-75268897/ featured: true categories: - News - Release - Quaterion tags: - Corporate news - Release - Quaterion - PyTorch sitemapExclude: True --- We're happy to share the result of the work we've been into during the last months - [Quaterion](https://quaterion.qdrant.tech/). It is a framework for fine-tuning similarity learning models that streamlines the training process to make it significantly faster and cost-efficient. To develop Quaterion, we utilized PyTorch Lightning, leveraging a high-performing AI research approach to constructing training loops for ML models. ![quaterion](/blog_data/from_cms/new-cmp-demo.gif) This framework empowers vector search [solutions](https://qdrant.tech/solutions/), such as semantic search, anomaly detection, and others, by advanced coaching mechanism, specially designed head layers for pre-trained models, and high flexibility in terms of customization according to large-scale training pipelines and other features. Here you can read why similarity learning is preferable to the traditional machine learning approach and how Quaterion can help benefit     A quick start with Quaterion:\ \ And try it and give us a star on GitHub :)