AI models
Sailor-7B-Chat
Training compute
1.8×10²³ FLOP
Parameters
7.7B
Published
Apr 4, 2024
Sailor-7B-Chat is an AI model developed by Sea AI Lab and Singapore University of Technology & Design (Singapore), first published in April 2024. It works in the language domain, on tasks such as chat.
Training it took an estimated 1.8×10²³ FLOP of compute. The model has 7,720,000,000 parameters. Training ran on 64 NVIDIA A100 SXM4 40 GB.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen1.5-7B. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Sea AI Lab, Singapore University of Technology & Design
- Country of organization
- Singapore
- Domain
- Language
- Task
- Chat
- Training compute
- 1.8×10²³ FLOP
- Parameters
- 7,720,000,000
- Training hardware
- NVIDIA A100 SXM4 40 GB
- Chips used
- 64
- Training power draw
- 50.6 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Qwen1.5-7B
- 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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