AI models
GLA Transformer 340M
Training compute
3.1×10¹⁹ FLOP
Parameters
340M
Published
Aug 27, 2024
GLA Transformer 340M is an AI model developed by MIT-IBM Watson AI Lab and Massachusetts Institute of Technology (MIT) (United States), first published in August 2024. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 3.1×10¹⁹ FLOP of compute (estimation method: operation counting). The model has 340,000,000 parameters. It was trained on roughly 15B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- MIT-IBM Watson AI Lab, Massachusetts Institute of Technology (MIT)
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 3.1×10¹⁹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 340,000,000
- Dataset size
- 15B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
More from MIT-IBM Watson AI Lab,Massachusetts Institute of Technology (MIT)
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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