AI models
TigerBot-70B
Training compute
10²⁴ FLOP
Parameters
70B
Published
Sep 6, 2023
TigerBot-70B is an AI model developed by Tigerobo (China), first published in September 2023. It works in the language domain, on tasks such as chat, language generation, language modeling/generation and question answering.
Training it took an estimated 10²⁴ FLOP of compute (estimation method: operation counting). The model has 70,000,000,000 parameters. It was trained on roughly 300B datapoints. Training ran on 512 NVIDIA A100.
Access: Open weights (restricted use). Its weights are openly available. It is built on top of Llama 2-70B. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Tigerobo
- Country of organization
- China
- Domain
- Language
- Task
- Chat, Language generation, Language modeling/generation, Question answering
- Training compute
- 10²⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 70,000,000,000
- Dataset size
- 300B
- Training hardware
- NVIDIA A100
- Chips used
- 512
- Training power draw
- 406.9 kW
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Base model
- Llama 2-70B
- 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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