Orpheus-3B-0.1-FT on initializ.ai—Think smarter. Think smaller.

The Orpheus-3B-0.1-FT excels at low-latency inference while offering key advantages, e.g., "exceptional efficiency for its size" with strong capabilities in specialized tasks. It’s a cutting-edge speech Large Language Model (LLM) developed by CanopyLabs, designed to generate human-like speech. This advanced model boasts a compact architecture that enables remarkable efficiency and low-latency inference, making it ideal for real-time applications. Its specialized design and training also allow it to excel in specific areas, delivering high-quality speech output with impressive accuracy and naturalness.

Key advantages of Orpheus-3B-0.1-FT include:

• Efficiency: The model's compact size and optimized architecture ensure exceptional efficiency for its parameter count, making it a cost-effective solution for speech generation.
• Low-Latency Inference: Orpheus-3B-0.1-FT's design prioritizes fast inference, minimizing delays and enabling real-time or near-real-time speech synthesis.
• Specialized Capabilities: The model's training and fine-tuning focus on specific speech generation tasks, resulting in superior performance in those areas.

By combining these strengths, Orpheus-3B-0.1-FT represents a significant advancement in speech LLM technology, offering a powerful and efficient solution for diverse applications that demand high-quality, human-like speech generation.

Key Characteristics

Performance Ratings

Model Capabilities

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Human-Like Speech: Natural intonation, emotion, and rhythm that is superior to SOTA closed-source models

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Zero-Shot Voice Cloning: Clone voices without prior fine-tuning

Voice of Prompt -

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Cloned Samples -

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Guided Emotion and Intonation: Control speech and emotion characteristics with simple tags

Fine-Tuning

On-demand Deployment

Integration Options

API Example

from openai import OpenAI
from dotenv import load_dotenv
from pathlib import Path
import os
load_dotenv()

client = OpenAI(
    base_url="https://api.us.initz.run/v1",
    api_key=os.getenv("API_KEY"),  # Generate API Key from the initializ dashboard
)

speech_file_path = Path(__file__).parent / "speech.mp3"

with client.audio.speech.with_streaming_response.create(
    model="canopylabs/orpheus-3b-0.1-ft",
    input="hello this is Tara <chuckle> from initializ, how can I help you today?",
    voice="tara",
    response_format="mp3",
    extra_headers={"Org-id": os.getenv("ORG_ID")}, # Get your Org ID from initializ Settings
    extra_body={"top_p": 0.9, "temperature": 0.7}, # top_p is needed for Orpheus TTS
) as response:
    response.stream_to_file(speech_file_path)
    print(f"Audio saved to {speech_file_path}")

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Pricing

Who Is This Built For & How Can They Use It? 

Orpheus-3B-0.1-FT by Canopy Labs is a finely tuned Text-to-Speech model designed for developers, researchers, and product teams seeking natural, expressive speech synthesis without excessive compute demands. With just 3 billion parameters, it delivers high-quality, emotionally expressive voice generation, making it ideal for applications like virtual assistants, audiobooks, voice cloning, and real-time media. Orpheus-3B-0.1-FT balances speed, realism, and controllability, enabling seamless integration into products that demand human-like vocal interaction.

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Whether you're building responsive web apps, integrating smart copilots, or deploying lightweight RAG pipelines, Orpheus-3B-0.1-FT offers the flexibility and control you need. With PEFT support like LoRA for efficient fine-tuning, multiple deployment options, and a low-cost footprint, it's the ideal choice for scaling intelligent applications without sacrificing speed or budget.

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Get started with Orpheus-3B-0.1-FT by Canopy Labs on the initializ Playground and bring efficient AI into your stack today. Or start building directly on our API.

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