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RIMA-TTS-v2-8Lang
Praha-Labs/RIMA-TTS-v2-8Lang
RIMA-TTS-v2-8Lang is a machine learning model from Praha-Labs. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This run trains one LoRA adapter for eight core Indic languages using one pass over substantially more unique audio than RIMA-TTS v1.
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Updated Jul 13, 2026
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At a glance
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026
- SHA
- 4e0a4cac
Model card
From the Hugging Face model README
Core 8-Language 45-Hour Run
This run trains one LoRA adapter for eight core Indic languages using one pass over substantially more unique audio than RIMA-TTS v1.
Languages:
hi bn mr gu ta te ml kn
Dataset plan:
- 45 hours per language
- 22.5 hours female and 22.5 hours male per language
- 360 unique hours total
- audio duration filter: 1-15 seconds
- one training epoch
Training configuration:
| Setting | Value |
|---|---|
| Batch size | 24 |
| Gradient accumulation | 1 |
| Learning rate | 4e-5 |
| Epochs | 1 |
| LoRA rank / alpha | 128 / 256 |
| Checkpoint interval | 1,000 steps |
| Checkpoints retained | 6 |
| Eval samples | 4 per language every 1,000 steps |
Run from the repository root:
export HF_TOKEN="hf_your_token_here"
bash IndicFinetuning/multilingual_indic/core_8lang_45h/prepare_dataset.sh
bash IndicFinetuning/multilingual_indic/core_8lang_45h/train.sh
The dataset is written under core_8lang_45h/dataset. Training outputs and
checkpoint listening samples are written under
IndicFinetuning/outputs/multilingual_indic_core_8lang_45h.
This run starts from the Chatterbox base model. It does not continue the RIMA-TTS v1 adapter, keeping the comparison with the earlier 12-language run clean.
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026