AI models
Weblab-10B
Training compute
3.6×10²² FLOP
Parameters
10B
Published
Aug 4, 2023
Weblab-10B is an AI model developed by Matsuo Lab (Japan), first published in August 2023. It works in the language domain, on tasks such as language modeling/generation.
Training it took an estimated 3.6×10²² FLOP of compute (estimation method: operation counting). The model has 10,000,000,000 parameters. It was trained on roughly 256.1B datapoints.
Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Matsuo Lab
- Country of organization
- Japan
- Domain
- Language
- Task
- Language modeling/generation
- Training compute
- 3.6×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 10,000,000,000
- Dataset size
- 256.1B
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Epoch confidence
- Confident
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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