AI models
TiTok-L
Training compute
1.7×10²¹ FLOP
Parameters
307M
Published
Jun 11, 2024
TiTok-L is an AI model developed by ByteDance and Technical University of Munich (China and Germany), first published in June 2024. It works in the image generation domain, on tasks such as image generation.
Training it took an estimated 1.7×10²¹ FLOP of compute (estimation method: hardware). The model has 307,000,000 parameters. Training ran on NVIDIA A100 SXM4 80 GB.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- ByteDance, Technical University of Munich
- Country of organization
- China, Germany
- Domain
- Image generation
- Task
- Image generation
- Training compute
- 1.7×10²¹ FLOP
- Compute estimation method
- Hardware
- Parameters
- 307,000,000
- Training hardware
- NVIDIA A100 SXM4 80 GB
- Chip-hours
- 5.1K
- Model accessibility
- Open weights (unrestricted)
- 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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