AI models
GigaEmbeddings
Parameters
3B
Published
Sep 25, 2025
GigaEmbeddings is an AI model developed by Sber and Moscow Institute of Physics and Technology (Russia), first published in September 2025. It works in the language domain, on tasks such as semantic embedding.
Epoch AI has no training-compute estimate for this model. The model has 3,000,000,000 parameters. It was trained on roughly 49B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of GigaChat Lite (GigaChat-20B-A3B). Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Sber, Moscow Institute of Physics and Technology
- Country of organization
- Russia
- Domain
- Language
- Task
- Semantic embedding
- Compute estimation method
- Operation counting
- Parameters
- 3,000,000,000
- Dataset size
- 49B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- GigaChat Lite (GigaChat-20B-A3B)
- Epoch confidence
- Confident
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.
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