AI models
dots.llm1
Training compute
1.2×10²⁴ FLOP
Parameters
142B
Published
Jul 6, 2025
dots.llm1 is an AI model developed by Rednote (China), first published in July 2025. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 1.2×10²⁴ FLOP of compute (estimation method: hardware,operation counting). The model has 142,000,000,000 parameters. It was trained on roughly 11.3T datapoints. Training ran on NVIDIA H800 SXM5.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Rednote
- Country of organization
- China
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 1.2×10²⁴ FLOP
- Compute estimation method
- Hardware, Operation counting
- Parameters
- 142,000,000,000
- Dataset size
- 11.3T
- Training hardware
- NVIDIA H800 SXM5
- Chip-hours
- 1.5M
- 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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