AI models
code2vec
Training compute
3.2×10¹⁷ FLOP
Published
Oct 30, 2018
code2vec is an AI model developed by Technion - Israel Institute of Technology and Facebook AI Research (Israel, United States and France), first published in October 2018. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 3.2×10¹⁷ FLOP of compute (estimation method: hardware). It was trained on roughly 14.2M datapoints. Training ran on NVIDIA Tesla K80 for about 36 hours.
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
- 3.2×10¹⁷ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 14.2M
- Training hardware
- NVIDIA Tesla K80
- Training time
- 36 h
- 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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