AI models
MooER
Parameters
7.2B
Published
Aug 9, 2024
MooER is an AI model developed by Moore Threads (China), first published in August 2024. It works in the speech domain, on tasks such as speech recognition (asr) and translation.
Epoch AI has no training-compute estimate for this model. The model has 7,200,000,000 parameters. Training ran on 8 MTT S4000.
It is built on top of Qwen2-7B. The reference paper has 3 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Moore Threads
- Country of organization
- China
- Domain
- Speech
- Task
- Speech recognition (ASR), Translation
- Parameters
- 7,200,000,000
- Training hardware
- MTT S4000
- Chips used
- 8
- Training power draw
- 7.1 kW
- Base model
- Qwen2-7B
- Citations
- 3
- 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