AI models
OLMo 2 Furious 7B
Training compute
1.8×10²³ FLOP
Parameters
7B
Published
Dec 31, 2024
OLMo 2 Furious 7B is an AI model developed by Allen Institute for AI, University of Washington and New York University (NYU) (United States), first published in December 2024. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 1.8×10²³ FLOP of compute (estimation method: reported,operation counting). The model has 7,000,000,000 parameters. Training ran on NVIDIA H100 SXM5 80GB.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Allen Institute for AI, University of Washington, New York University (NYU)
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 1.8×10²³ FLOP
- Compute estimation method
- Reported, Operation counting
- Parameters
- 7,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
More from Allen Institute for AI,University of Washington,New York University (NYU)
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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