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  ---
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  base_model:
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- - unsloth/orpheus-3b-0.1-ft
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  tags:
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  - transformers
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  - unsloth
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  <br/><br/>
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  <a href="https://colab.research.google.com/drive/17ZeVLF8Q1P9juIKftijN9uwl2LrfMeCz?usp=drive_link">
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- ๐Ÿ““ Colab Notebook: Orpheus 3B TTS Finetuning with Unsloth
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  </a>
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  </div>
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  # **Fine-Tuned Model Description**
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- This model is derived from the base checkpoint **`unsloth/orpheus-3b-0.1-ft`**, fine-tuned using the **Unsloth optimization framework**, which enables up to **2ร— faster training** with reduced memory footprint.
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  Additional alignment and adaptation were performed with the **Hugging Face TRL** (Training Reinforcement Learning) library.
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  ### **Fine-Tuned Model Information**
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  - **Fine-tuned by:** `InnovationM's AI Team`
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  - **Organization:** [InnovationM](https://www.innovationm.com/)
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  - **License:** Apache-2.0
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- - **Base Model:** `unsloth/csm-1b`
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- - **Dataset Used:** `aiAtInnovationM/dailytalk-male`(eustlb/dailytalk)
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  # **Special Thanks**
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@@ -73,16 +89,15 @@ The **InnovationM** team.
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  | InnovationM LinkedIn | https://in.linkedin.com/company/innovationm |
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  | Fine-Tuning Notebook | https://colab.research.google.com/drive/17ZeVLF8Q1P9juIKftijN9uwl2LrfMeCz?usp=drive_link |
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  | Base Model | https://huggingface.co/unsloth/csm-1b |
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- | Unsloth Framework | https://github.com/unslothai/unsloth |
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  # ๐Ÿ“„ **Citation**
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  If you use this model in your research, please cite both **Canopy Labs Model** and this **InnovationM fine-tuned version**.
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  ```bibtex
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- @misc{innovationm2025csm1b,
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  title = {Orpheus-3B Fine-Tuned Model},
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- author = {InnovationM and AI Team},
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  howpublished = {Hugging Face},
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  year = {2025}
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  }
 
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  ---
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  base_model:
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+ - canopylabs/orpheus-3b-0.1-ft
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  tags:
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  - transformers
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  - unsloth
 
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  <br/><br/>
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  <a href="https://colab.research.google.com/drive/17ZeVLF8Q1P9juIKftijN9uwl2LrfMeCz?usp=drive_link">
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+ ๐Ÿ““ Colab Notebook: Orpheus 3B TTS Finetuning
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  </a>
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  </div>
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  # **Fine-Tuned Model Description**
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+ 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 **2ร— faster training** with reduced memory footprint.
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  Additional alignment and adaptation were performed with the **Hugging Face TRL** (Training Reinforcement Learning) library.
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+ ### **Audio Samples**
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+
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+ #### **Before Finetuning (Female Voice)**
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+
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+ <audio controls>
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+ <source src="samples/before.wav" type="audio/wav">
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+ Your browser does not support the audio element.
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+ </audio>
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+
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+ #### **After Finetuning (Male Voice)**
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+
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+ <audio controls>
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+ <source src="samples/after.wav" type="audio/wav">
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+ Your browser does not support the audio element.
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+ </audio>
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+
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  ### **Fine-Tuned Model Information**
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  - **Fine-tuned by:** `InnovationM's AI Team`
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  - **Organization:** [InnovationM](https://www.innovationm.com/)
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  - **License:** Apache-2.0
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+ - **Base Model:** `canopylabs/orpheus-3b-0.1-ft`
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+ - **Dataset Used:** `aiAtInnovationM/dailytalk-male`
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  # **Special Thanks**
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  | InnovationM LinkedIn | https://in.linkedin.com/company/innovationm |
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  | Fine-Tuning Notebook | https://colab.research.google.com/drive/17ZeVLF8Q1P9juIKftijN9uwl2LrfMeCz?usp=drive_link |
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  | Base Model | https://huggingface.co/unsloth/csm-1b |
 
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  # ๐Ÿ“„ **Citation**
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  If you use this model in your research, please cite both **Canopy Labs Model** and this **InnovationM fine-tuned version**.
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  ```bibtex
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+ @misc{innovationm2025,
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  title = {Orpheus-3B Fine-Tuned Model},
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+ author = {InnovationM},
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  howpublished = {Hugging Face},
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  year = {2025}
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  }