AI models
Jais-70B
Training compute
9.7×10²³ FLOP
Parameters
70B
Published
Aug 5, 2024
Jais-70B is an AI model developed by G42 and Inception G42 (United Arab Emirates), first published in August 2024. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 9.7×10²³ FLOP of compute (estimation method: operation counting). The model has 70,000,000,000 parameters. It was trained on roughly 370B datapoints. Training ran on 64 Cerebras CS-2.
Access: Open weights (restricted use). Its weights are openly available. It is built on top of Llama 2-70B. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- G42, Inception G42
- Country of organization
- United Arab Emirates
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 9.7×10²³ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 70,000,000,000
- Dataset size
- 370B
- Training hardware
- Cerebras CS-2
- Chips used
- 64
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Base model
- Llama 2-70B
- 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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