AI models
code2seq
Training compute
1.2×10¹⁹ FLOP
Parameters
37M
Published
Feb 21, 2019
code2seq is an AI model developed by Technion - Israel Institute of Technology and Facebook AI Research (Israel, United States and France), first published in February 2019. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.2×10¹⁹ FLOP of compute (estimation method: operation counting). The model has 37,000,000 parameters. It was trained on roughly 46M datapoints.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Technion - Israel Institute of Technology, Facebook AI Research
- Country of organization
- Israel, United States, France
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.2×10¹⁹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 37,000,000
- Dataset size
- 46M
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
More from Technion - Israel Institute of Technology,Facebook AI Research
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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