AI models
Hierarchical LM
Training compute
1.2×10¹⁴ FLOP
Published
Jan 6, 2005
Hierarchical LM is an AI model, first published in January 2005. It works in the language domain, on tasks such as language modeling. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 1.2×10¹⁴ FLOP of compute (estimation method: hardware). It was trained on roughly 900K datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.2×10¹⁴ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 900K
- Chips used
- 1
- Training time
- 13 h
- Epoch confidence
- Confident
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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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