AI models
Falcon 2 11B
Training compute
3.6×10²³ FLOP
Parameters
11B
Published
May 9, 2024
Falcon 2 11B is an AI model developed by Technology Innovation Institute (United Arab Emirates), 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 3.6×10²³ FLOP of compute (estimation method: operation counting). The model has 11,000,000,000 parameters. It was trained on roughly 5.5T datapoints. Training ran on NVIDIA A100 SXM4 40 GB for about 1.4K hours.
Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Technology Innovation Institute
- Country of organization
- United Arab Emirates
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 3.6×10²³ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 11,000,000,000
- Dataset size
- 5.5T
- Training hardware
- NVIDIA A100 SXM4 40 GB
- Training time
- 1,400 h
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Epoch confidence
- Confident
Benchmark results
| 01 | Epoch Capabilities Index | ECI Score | 109.3 |
More from Technology Innovation Institute
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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