AI models
Hybrid H3-125M
Parameters
125M
Published
Dec 28, 2022
Hybrid H3-125M is an AI model developed by Stanford University and University at Buffalo (United States), first published in December 2022. It works in the language domain, on tasks such as language modeling/generation.
Epoch AI has no training-compute estimate for this model. The model has 125,000,000 parameters. Training ran on 8 NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 636 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Stanford University, University at Buffalo
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation
- Parameters
- 125,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 8
- Training power draw
- 6.4 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 636
- Epoch confidence
- Confident
More from Stanford University,University at Buffalo
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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