AI models
Alibaba-NLP (mGTE)
Parameters
304M
Published
Oct 14, 2024
Alibaba-NLP (mGTE) is an AI model developed by Alibaba and Hong Kong Polytechnic University (China and Hong Kong), first published in October 2024. It works in the language domain, on tasks such as semantic embedding.
Epoch AI has no training-compute estimate for this model. The model has 304,000,000 parameters. Training ran on 1 NVIDIA A100.
The reference paper has 302 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Alibaba, Hong Kong Polytechnic University
- Country of organization
- China, Hong Kong
- Domain
- Language
- Task
- Semantic embedding
- Parameters
- 304,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 1
- Training power draw
- 433 W
- Citations
- 302
- 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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