AI models
SeamlessM4T
Parameters
2.3B
Published
Dec 8, 2023
SeamlessM4T is an AI model developed by Facebook, INRIA and University of California (UC) Berkeley (United States and France), first published in December 2023. It works in the speech and language domain, on tasks such as translation, speech synthesis, speech recognition (asr) and 2 more.
Epoch AI has no training-compute estimate for this model. The model has 2,300,000,000 parameters. Training ran on NVIDIA V100.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of W2v-BERT. The reference paper has 265 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Facebook, INRIA, University of California (UC) Berkeley
- Country of organization
- United States, France
- Domain
- Speech, Language
- Task
- Translation, Speech synthesis, Speech recognition (ASR), Speech-to-text, Speech-to-speech
- Parameters
- 2,300,000,000
- Training hardware
- NVIDIA V100
- Numerical format
- FP16
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- W2v-BERT
- Citations
- 265
- 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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