AI models
ALLaM adapted13B
Training compute
1.7×10²³ FLOP
Parameters
13B
Published
May 21, 2024
ALLaM adapted13B is an AI model developed by Saudi Data and Artificial Intelligence Authority (Saudi Arabia), first published in May 2024. It works in the language domain, on tasks such as language modeling/generation, translation and question answering.
Training it took an estimated 1.7×10²³ FLOP of compute. The model has 13,000,000,000 parameters. It was trained on roughly 5.2T datapoints. Training ran on NVIDIA A100.
Access: API access. Its weights are not openly released. It is built on top of LLaMA-13B. The reference paper has 69 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Saudi Data and Artificial Intelligence Authority
- Country of organization
- Saudi Arabia
- Domain
- Language
- Task
- Language modeling/generation, Translation, Question answering
- Training compute
- 1.7×10²³ FLOP
- Parameters
- 13,000,000,000
- Dataset size
- 5.2T
- Training hardware
- NVIDIA A100
- Numerical format
- BF16
- Model accessibility
- API access
- Open weights
- No
- Base model
- LLaMA-13B
- Citations
- 69
- Epoch confidence
- Confident
More from Saudi Data and Artificial Intelligence Authority
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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