SigLIP (наследник CLIP)
Models that map images and text into a shared space: you can search photos by words and classify images without training. OpenAI's CLIP (2021) is the predecessor.
- Developer
- Google, USA
- First release
- Sep 2023
- Latest release
- Feb 2025
- Sizes
- about 0.2B to 2B
- License
- Commercial use allowedApache 2.0
- Running
- On your own serverAlso runs without a GPU
- Industries
- Retail and marketplaces, Media and production, Software development
What it does
- Image search by text query
- Automatic catalog labeling and tagging
- Filtering prohibited content
Where it is used
Hardware requirements
Versions
- SigLIP 2
- SigLIP
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can SigLIP (наследник CLIP) be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does SigLIP (наследник CLIP) need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does SigLIP (наследник CLIP) support Russian?
Language does not matter for this model: it does not work with text.
Where can I download SigLIP (наследник CLIP) and what does it cost?
The SigLIP (наследник CLIP) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Foundation models that turn an image into a numeric "fingerprint". They are used to build similar-image search, classification and segmentation without large labeled datasets.
DetailsSearch and RAGJina EmbeddingsJina AI · GermanyCommercial use with conditionsStrong multilingual embeddings with long context; v5-omni understands text, images and audio. Recent versions are open for non-commercial use only.
DetailsSource: huggingface.co/google/siglip2-giant-opt-patch16-384. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


