---
license: mit
language:
- ru
- en
pipeline_tag: audio-to-audio
---
# Summary
Pretrained RingFormer v2 from [codename's RVC fork](https://github.com/codename0og/codename-rvc-fork-4)  

**Sample rate**: 40000  
**Embedder**: Spin v2  
**Mel Loss**: Experimental L1 + MR-STFT loss  
**F0**: RMVPE  
**Precision**: FP16 / FP32 mixed (BF16 proved to be very imprecise in ablation tests, achieving way worse loss values, I don't recommend using it for training any RVC models)  
**Speakers**: 225  
**Dataset length**: 235:31:50, of which 37:26:53 is Russian, rest is English.  
 

**First checkpoints in the upcoming days, haven't finished training yet**