---
language: ur
license: apache-2.0
library_name: transformers
base_model: mahwizzzz/orpheus-urdu-tts
datasets:
- muhammadsaadgondal/urdu-tts
pipeline_tag: text-to-speech
tags:
- urdu
- tts
- text-to-speech
- orpheus
- unsloth
- voice-clone
- zia-mohiuddin
---

# Orpheus-Urdu-TTS-Zia-Mohyeddin

This model is a fine-tuned version of `mahwizzzz/orpheus-urdu-tts`, specifically adapted to replicate the iconic voice and oratorical style of the legendary Pakistani orator, Zia Mohyeddin.

The model was fine-tuned on the `muhammadsaadgondal/urdu-tts` dataset, which contains high-quality audio recordings of Zia Mohyeddin. The fine-tuning process was performed efficiently using **Unsloth**, which enables faster training with significantly less memory.

This model allows for the generation of clear, natural-sounding Urdu speech that captures the distinct cadence, tone, and gravitas of Zia Mohyeddin's delivery, making it ideal for high-quality TTS applications.

## Model Details

- **Base Model:** [`mahwizzzz/orpheus-urdu-tts`](https://huggingface.co/mahwizzzz/orpheus-urdu-tts)
- **Language:** Urdu (ur)
- **Core Technology:** Orpheus 3B
- **Fine-tuning Framework:** [Unsloth](https://github.com/unslothai/unsloth)

## Fine-tuning Details

-   **Dataset:** [`muhammadsaadgondal/urdu-tts`](https://huggingface.co/datasets/muhammadsaadgondal/urdu-tts) - A high-quality dataset of Zia Mohyeddin's speech, originally compiled for ASR tasks.
-   **Training Framework:** The model was fine-tuned with **Unsloth**, enabling efficient training on consumer-grade hardware.
-   **Training Configuration:**
    -   **Epochs:** `2`
    -   **Batch Size:** `4`
    -   **Learning Rate:** `1e-4`
    -   **Hardware:** `1x NVIDIA L4 GPU on Google Colab`
    -   **Quantization:** LoRA (16-bit)

## Limitations

The model cannot pronounce many Urdu words properly, although it has adapted the voice of Zia Mohyeddin.

## Citation

If you use this model in your work, please cite the original dataset and acknowledge this fine-tuned version.

```bibtex
@dataset{gondal_2024_urdutts,
  author       = {Muhammad Saad Gondal},
  title        = {urdu-tts},
  year         = {2024},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/muhammadsaadgondal/urdu-tts}
}

@software{Aasher_2025_orpheus_zia,
  author       = {Aasher Kamal},
  title        = {Orpheus-Urdu-TTS-Zia-Mohiuddin},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/Aasher/Orpheus-Urdu-TTS-Zia-Mohyeddin}
}
```