AI models
InternLM2-20B
Training compute
3.1×10²³ FLOP
Parameters
20B
Published
Jan 12, 2024
InternLM2-20B is an AI model developed by Shanghai AI Lab, SenseTime, Chinese University of Hong Kong (CUHK) and Fudan University (China and Hong Kong), first published in January 2024. It works in the language domain, on tasks such as chat, language modeling/generation and question answering.
Training it took an estimated 3.1×10²³ FLOP of compute (estimation method: operation counting). The model has 20,000,000,000 parameters. It was trained on roughly 2.6T datapoints.
Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Shanghai AI Lab, SenseTime, Chinese University of Hong Kong (CUHK), Fudan University
- Country of organization
- China, Hong Kong
- Domain
- Language
- Task
- Chat, Language modeling/generation, Question answering
- Training compute
- 3.1×10²³ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 20,000,000,000
- Dataset size
- 2.6T
- Model accessibility
- Open weights (restricted use)
- 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.
← All ai models