Model reference · open weights
orpheus-0.1-pretrained is an open-weight audio or speech model from canopylabs. orpheus-3b-0.1-pretrained (BF16) weighs 6.6 GB; the smallest configuration that runs it is RTX 3060 12 GB.
Summary of the canopylabs/orpheus-3b-0.1-pretrained model card, 2026-10-01. The estimate below is for another build of the family.
What it is
| Released by | canopylabs |
|---|---|
| Released | 2025-03-04 |
| Parameters | 3.8B |
| VRAM | 6.6 GB for the weights |
What it runs on
| Card | One stream | Memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
Builds
| Build | Params | Precision | Weights | Smallest setup |
|---|---|---|---|---|
| orpheus-3b-0.1-pretrained ↗ | 3.8B | FP32 | 7.6 GB | RTX 3060 12 GB |
| orpheus-3b-0.1-pretrained (above) ↗ packaged by unsloth |
3.3B | BF16 | 6.6 GB | RTX 3060 12 GB |
From the model card
03/18/2025 – We are releasing our 3B Orpheus TTS model with additional finetunes. Code is available on GitHub: CanopyAI/Orpheus-TTS
Orpheus TTS is a state-of-the-art, Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model is the base model that can be used for many downstream tasks, like TTS, Zero-shot voice cloning and classification.
We're also releasing the training code so you can create custom finetunes of this model for your own use cases.
Do not use our models for impersonation without consent, misinformation or deception (including fake news or fraudulent calls), or any illegal or harmful activity. By using this model, you agree to follow all applicable laws and ethical guidelines. We disclaim responsibility for any use.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works