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README.md

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 This model is jointly developed by [NVIDIA NeMo](https://github.com/NVIDIA/NeMo) and [Suno.ai](https://www.suno.ai/) teams. 
 It is a Large version of Hybrid FastConformer [1] TDT-CTC [2] (around 114M parameters) model. 
 This model has been trained with fastconformer architecture with full attention hence this model can transcribe up to 20 minutes of audio in one single pass. 
-This model achieves super fast RTFx values across all datasets, with an average RTFx of ~4000 on Hugging Face leaderboard evaluation sets.  
+This model achieves super fast RTFx values across all datasets, with an average RTFx of ~5300 on Hugging Face leaderboard evaluation sets on A100.  
 See the [model architecture](#model-architecture) section and [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#fast-conformer) for complete architecture details.