# **Orpheus-3B (Fine-Tuned) — InnovationM**
This repository contains a fine-tuned variant of **Orpheus TTS 3B** — a state-of-the-art speech generation framework originally developed by [Canopy Labs](https://canopylabs.ai/).
# **Fine-Tuned Model Description**
This model is derived from the base checkpoint **`canopylabs/orpheus-3b-0.1-ft`**, fine-tuned using the **Unsloth optimization framework**, which enables up to **2× faster training** with reduced memory footprint.
Additional alignment and adaptation were performed with the **Hugging Face TRL** (Training Reinforcement Learning) library.
### **Audio Samples**
#### **Before Finetuning (Female Voice)**
#### **After Finetuning (Male Voice)**
### **Fine-Tuned Model Information**
- **Fine-tuned by:** `InnovationM's AI Team`
- **Organization:** [InnovationM](https://www.innovationm.com/)
- **License:** Apache-2.0
- **Base Model:** `canopylabs/orpheus-3b-0.1-ft`
- **Dataset Used:** `aiAtInnovationM/dailytalk-male`
# **Special Thanks**
- **Canopy Labs Research Team** — for creating and open-sourcing the original CSM architecture and research.
- **Unsloth Team** — for providing the high-efficiency training framework enabling optimized fine-tuning workflows.
- **Meta AI & Llama Team** — for developing and releasing the foundational Llama models that support the Orpheus architecture and its derivatives.
# **Authors**
### **Original Model Authors**
**Canopy Labs** Team.
### **Fine-Tuned Model Authors**
The **InnovationM** team.
# 📎 **Useful Resources**
| Resource | Link |
|---------|------|
| InnovationM Website | https://www.innovationm.com/ |
| InnovationM LinkedIn | https://in.linkedin.com/company/innovationm |
| Fine-Tuning Notebook | https://colab.research.google.com/drive/17ZeVLF8Q1P9juIKftijN9uwl2LrfMeCz?usp=drive_link |
| Base Model | https://huggingface.co/unsloth/csm-1b |
# 📄 **Citation**
If you use this model in your research, please cite both **Canopy Labs Model** and this **InnovationM fine-tuned version**.
```bibtex
@misc{innovationm2025,
title = {Orpheus-3B Fine-Tuned Model},
author = {InnovationM},
howpublished = {Hugging Face},
year = {2025}
}
