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Nikya
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Model Details
Model Provider
Nikya
Model Tree
Qwen/Qwen3-0.6B
Input Modalities
Output Modalities
Supported Functionality
This is an open-source Text-to-Speech model developed by HyperneuronAI. The model is designed to generate natural speech from text and currently supports Hindi, Assamese, Punjabi, and Kannada. Future work includes expanding support to 17+ Indian languages.
The model uses a Qwen3 backbone and is intended for research, experimentation, and building voice AI applications. Users are free to fine-tune the model for custom voices and additional languages.
Voice cloning capabilities are not provided with this release to encourage responsible AI usage.
This model can be used for Text-to-Speech generation in voice AI applications, including:
Users may fine-tune this model for:
This model should not be used for unethical, harmful, deceptive, or illegal purposes, including but not limited to:
HyperneuronAI is not responsible for misuse of this model by third parties.
Inference code and examples will be added soon.
python
# Example usage will be added in a future release.The model was trained and fine-tuned on multilingual speech data covering Hindi, Assamese, Punjabi, and Kannada.
More details about the dataset composition, duration, speakers, and preprocessing pipeline will be added in a future update.
The model was fine-tuned for text-to-speech generation using a Qwen3-based architecture.
More details about training configuration, tokenizer setup, audio codec/token representation, and optimization strategy will be added later.
Training hyperparameters will be added in a future update.
The model has been tested on multilingual text prompts across Hindi, Assamese, Punjabi, and Kannada.
A detailed benchmark set will be released in a future update.
Formal evaluation metrics such as MOS, speaker similarity, intelligibility, word error rate, and latency benchmarks are not yet published.
Evaluation results will be added after broader testing and benchmarking.
This is a Text-to-Speech model with a Qwen3 backbone. The model is optimized to generate speech from input text in supported Indian languages.
Further architecture details will be added in future documentation.
Compute details will be added in a future update.
Hardware details will be added in a future update.
Software and inference dependencies will be added with the official inference code.
Carbon impact has not yet been estimated.
This model is released to support open-source development of Indian language voice AI. Users should ensure responsible deployment, obtain consent where required, and avoid deceptive or harmful applications.
Citation details will be added in a future release.
HyperneuronAI
For questions, collaborations, or contributions, please contact HyperneuronAI.