AI models
Falcon Mamba
Training compute
3.9×10²³ FLOP
Parameters
7B
Published
Aug 12, 2024
Falcon Mamba is an AI model developed by Technology Innovation Institute (United Arab Emirates), first published in August 2024. It works in the language domain, on tasks such as language modeling/generation, question answering, code generation and quantitative reasoning.
Training it took an estimated 3.9×10²³ FLOP of compute (estimation method: hardware). The model has 7,000,000,000 parameters. It was trained on roughly 5.5T datapoints. Training ran on 256 NVIDIA H100 SXM5 80GB 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, Code generation, Quantitative reasoning
- Training compute
- 3.9×10²³ FLOP
- Compute estimation method
- Hardware
- Parameters
- 7,000,000,000
- Dataset size
- 5.5T
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 256
- Training time
- 1,440 h
- Training power draw
- 353.3 kW
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Epoch confidence
- Confident
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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