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chriswritescode/
orpheus-3b-0.1-ft-FP8-Dynamic

Name: orpheus-3b-0.1-ft-FP8-Dynamic
Availability: InStock

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library_name: transformers language:

en pipeline_tag: text-to-speech license: apache-2.0 base_model:
meta-llama/Llama-3.2-3B-Instruct
canopylabs/orpheus-3b-0.1-pretrained

FP8 Quant made with llmcompressor

Orpheus 3B 0.1 Finetuned

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 has been finetuned to deliver human-level speech synthesis, achieving exceptional clarity, expressiveness, and real-time streaming performances.

Model Details

Model Capabilities

Human-Like Speech: Natural intonation, emotion, and rhythm that is superior to SOTA closed source models
Zero-Shot Voice Cloning: Clone voices without prior fine-tuning
Guided Emotion and Intonation: Control speech and emotion characteristics with simple tags
Low Latency: ~200ms streaming latency for realtime applications, reducible to ~100ms with input streaming

Model Sources

GitHub Repo: https://github.com/canopyai/Orpheus-TTS
Blog Post: https://canopylabs.ai/model-releases
Colab Inference Notebook: notebook link
One-Click Deployment on Baseten: https://www.baseten.co/library/orpheus-tts/

Usage

Check out our Colab (link to Colab) or GitHub (link to GitHub) on how to run easy inference on our finetuned models.

Model Misuse

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.

chriswritescode/orpheus-3b-0.1-ft-FP8-Dynamic