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Cortana
vibevoice-community/Cortana
Cortana is a machine learning model from vibevoice-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a fine-tune of the 7B model of VibeVoice. Requires 21.9GB of VRAM for inference (through OpenVoiceLab)
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Public
Updated Nov 15, 2025
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4 GB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- b494f208
Model card
From the Hugging Face model README
This is a fine-tune of the 7B model of VibeVoice. Requires 21.9GB of VRAM for inference (through OpenVoiceLab)
<br> Fine-tuning was done using the code available here: <br> https://github.com/voicepowered-ai/VibeVoice-finetuning<br><br> Dataset used for fine-tuning, was 764 audio files available for Halo 1, Halo 2, and Halo 3, via the links below: <br> Halo 1: https://sounds.spriters-resource.com/xbox/halocombatevolved/asset/413569/ <br> Halo 2: https://sounds.spriters-resource.com/xbox/halo2/asset/436393/?source=genre <br> Halo 3: https://sounds.spriters-resource.com/xbox_360/halo3/asset/405404/ <br>
<br><br> Fine-tuning parameters used were:
batch_size = 1 <br> drop_rate = 0.2 <br> grad_accum = 1 <br> lr = 2.5e-5 <br> lora_r = 128 <br> lora_alpha = 512 <br> epochs = 20 <br> train_diff = True <br> bf16 = True <br> grad_clip = True <br> max_grad = 0.8 <br> grad_checkpoint = False <br> diff_weight = 1.4 <br> ce_weight = 0.04 <br> warmup = 0.03 <br> scheduler = "cosine" <br>
<br> Special thanks to mrfakename, for creating OpenVoiceLab, a fantastic resource for both inference, and fine-tuning, with quite a nice GUI.- License
- apache-2.0
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025