RM of BTS [KLM KPU II 32K]

Created: August 29, 2025
RM of BTS [KLM KPU II 32K]

**Model Info**
- Architecture: RVC
- Vocoder: NSF-HiFiGAN
- Sample Rate: 32kHz
- F0 Extraction: RMVPE
- Embedder: ContentVec
- Pretrain: KLM KPU II
- Precision: BFloat16

**Training Details**
- Epochs: 166
- Dataset Length: 52m 42s
- Batch Size: 8

**NOTE:**
i recommend setting the feature ratio to 0.2

**Download**
https://huggingface.co/natanworkspace/KLM_KPU_II_Models/resolve/main/rm-klm-kpu2-32k-166e.zip?download=true

Additional Details:

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Download Link: https://huggingface.co/natanworkspace/KLM_KPU_II_Models/resolve/main/rm-klm-kpu2-32k-166e.zip?download=true