GoogleReleased Mar 2023Apache 2.0

SigLIP

We don't benchmark SigLIP.

It is an open-weight model from Google under the Apache 2.0 license, and free for commercial use.

SigLIP Overview

SigLIP is a vision-language model released in March 2023 by researchers at Google DeepMind. It adapts the CLIP image-text pretraining approach by replacing CLIP's softmax-based contrastive loss with a pairwise sigmoid loss, which operates independently on each image-text pair rather than requiring a global view of all pairs in a batch. This change decouples the loss from batch size, enabling more memory-efficient training and improved performance at smaller batch sizes, a regime where softmax contrastive learning typically struggles. Despite this simplification, SigLIP matches or exceeds CLIP-style models on zero-shot image classification and image-text retrieval benchmarks when trained on comparable data.

SigLIP License

Apache-2.0 · Permissive license

SigLIP is released under the Apache 2.0 license, so it's commercially usable out of the box: you can ship it in closed-source, commercial products, including self-hosted deployments, without paying a license fee or open-sourcing your code. The SigLIP license is permissive, so no separate commercial license is required.

Commercial use: Permitted. Because Apache-2.0 is permissive, SigLIP can ship inside paid products and internal systems with no commercial license and no revenue threshold.
Modification: Permitted. Fine-tuning, quantizing, and distilling are all allowed, and your code changes can stay closed. Files you change must be marked as changed.
Redistribution: Permitted with attribution. Ship the Apache-2.0 license text and any NOTICE file alongside the weights or derived code.

Apache-2.0 grants an express patent license that terminates if you bring a patent claim over the work, and it disclaims warranties. Validate SigLIP on your own data before you depend on it in production.

Read the full Apache 2.0 license ↗

Do I need a commercial license for SigLIP?

This is the straightforward case: a permissive license is the best technical solution and you are free to deploy SigLIP commercially without open-sourcing your own code.

Do not hesitate to reach out with questions for your commercial project. Our team will help you start solving business problems on the first call. See Roboflow commercial licensing for the models included in each plan.

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This model is released under the Apache License 2.0, a permissive open-source license that allows commercial use, modification, distribution, and patent use.

Yes. Under the terms of the Apache 2.0 license, you can freely use this model for commercial purposes, including in proprietary products. You must retain the copyright notice and disclaimers when redistributing.

License information is provided as a guide and is not legal advice.