AI models
SILC-S
Parameters
86M
Published
Oct 20, 2023
SILC-S is an AI model developed by ETH Zurich, DeepMind, Google and Technical University of Munich (Switzerland, United Kingdom, United States and Germany), first published in October 2023. It works in the vision domain, on tasks such as image classification and image segmentation.
Epoch AI has no training-compute estimate for this model. The model has 86,000,000 parameters.
Access: Unreleased. Its weights are not openly released. It is built on top of SILC-S* (86M). Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- ETH Zurich, DeepMind, Google, Technical University of Munich
- Country of organization
- Switzerland, United Kingdom, United States, Germany
- Domain
- Vision
- Task
- Image classification, Image segmentation
- Parameters
- 86,000,000
- Model accessibility
- Unreleased
- Open weights
- No
- Base model
- SILC-S* (86M)
- Epoch confidence
- Likely
More from ETH Zurich,DeepMind,Google,Technical University of Munich
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
← All ai models