AI models
OpenLLaMA-13B
Training compute
7.8×10²² FLOP
Parameters
13B
Published
May 1, 2023
OpenLLaMA-13B is an AI model developed by OpenLM Research (United States), first published in May 2023. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 7.8×10²² FLOP of compute (estimation method: operation counting). The model has 13,000,000,000 parameters. It was trained on roughly 1T datapoints. Training ran on Google TPU v4.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- OpenLM Research
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 7.8×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 13,000,000,000
- Dataset size
- 1T
- Training hardware
- Google TPU v4
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- 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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