AI models
Mamba 2, 2.7B
Training compute
4.9×10²¹ FLOP
Parameters
2.7B
Published
May 31, 2024
Mamba 2, 2.7B is an AI model developed by Princeton University and Carnegie Mellon University (CMU) (United States), first published in May 2024. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 4.9×10²¹ FLOP of compute (estimation method: operation counting). The model has 2,700,000,000 parameters.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Princeton University, Carnegie Mellon University (CMU)
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 4.9×10²¹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 2,700,000,000
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- 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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