Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
unsloth
tts
orpheus
text-generation-inference
Instructions to use innovationm-ai/orpheus-tts-3b-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use innovationm-ai/orpheus-tts-3b-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="innovationm-ai/orpheus-tts-3b-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("innovationm-ai/orpheus-tts-3b-finetuned") model = AutoModelForCausalLM.from_pretrained("innovationm-ai/orpheus-tts-3b-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 3,563 Bytes
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base_model:
- canopylabs/orpheus-3b-0.1-ft
tags:
- transformers
- unsloth
- tts
- orpheus
license: apache-2.0
language:
- en
datasets:
- innovationm-ai/dailytalk-male
- innovationm-ai/dailytalk-female
pipeline_tag: text-to-speech
library_name: transformers
---
<div align="center">
<img src="./logo.png" alt="InnovationM"/>
<br/><br/>
<a href="https://www.innovationm.com/">
<img src="https://img.shields.io/badge/InnovationM-Website-orange?style=for-the-badge&logo=google-chrome&logoColor=white" alt="InnovationM Website Badge"/>
</a>
<a href="https://in.linkedin.com/company/innovationm">
<img src="https://img.shields.io/badge/LinkedIn-Profile-blue?style=for-the-badge&logo=linkedin&logoColor=white" alt="LinkedIn Badge"/>
</a>
<br/><br/>
<a href="https://colab.research.google.com/drive/17ZeVLF8Q1P9juIKftijN9uwl2LrfMeCz?usp=drive_link">
π Colab Notebook: Orpheus 3B TTS Finetuning
</a>
</div>
# **Orpheus-3B (Fine-Tuned) β InnovationM**
This repository contains a fine-tuned variant of **Orpheus TTS 3B** β 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 **2Γ 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)**
<audio controls>
<source src="https://huggingface.co/aiAtInnovationM/orpheus-tts-3b-finetuned/resolve/main/tts_before_tuning_1.wav" type="audio/wav">
Your browser does not support the audio element.
</audio>
#### **After Finetuning (Male Voice)**
<audio controls>
<source src="https://huggingface.co/aiAtInnovationM/orpheus-tts-3b-finetuned/resolve/main/tts_after_tuning_1.wav" type="audio/wav">
Your browser does not support the audio element.
</audio>
### **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** β for creating and open-sourcing the original CSM architecture and research.
- **Unsloth Team** β for providing the high-efficiency training framework enabling optimized fine-tuning workflows.
- **Meta AI & Llama Team** β 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.
# π **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 |
# π **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}
} |