AI models
Stockmark-13B
Training compute
1.7×10²² FLOP
Parameters
13.2B
Published
Oct 23, 2023
Stockmark-13B is an AI model developed by Stockmark (Japan), first published in October 2023. It works in the language domain, on tasks such as language modeling/generation.
Training it took an estimated 1.7×10²² FLOP of compute (estimation method: operation counting). The model has 13,200,000,000 parameters. It was trained on roughly 220B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Stockmark
- Country of organization
- Japan
- Domain
- Language
- Task
- Language modeling/generation
- Training compute
- 1.7×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 13,200,000,000
- Dataset size
- 220B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Likely
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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