AI models
Samba 3.8B
Training compute
7.3×10²² FLOP
Parameters
3.8B
Published
Jun 11, 2024
Samba 3.8B is an AI model developed by Microsoft and University of Illinois Urbana-Champaign (UIUC) (United States), first published in June 2024. It works in the language domain, on tasks such as language modeling/generation.
Training it took an estimated 7.3×10²² FLOP of compute (estimation method: operation counting). The model has 3,800,000,000 parameters.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Microsoft, University of Illinois Urbana-Champaign (UIUC)
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation
- Training compute
- 7.3×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 3,800,000,000
- Model accessibility
- Unreleased
- Open weights
- No
- 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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