Model reference · open weights

orpheus-0.1-ft

Audio canopylabs Text→speech 4 builds Open weights 237k dl/mo

orpheus-0.1-ft is an open-weight audio or speech model from canopylabs. orpheus-3b-0.1-ft (FP32) weighs 7.6 GB; the smallest configuration that runs it is RTX 3060 12 GB.

  • Orpheus-0.1-ft is a 3.8B parameter Llama-based text-to-speech model developed by canopylabs.
  • It supports English and is designed for high-quality speech synthesis with features including zero-shot voice cloning and guided emotion control.
  • The model offers low latency for real-time streaming and is released under the Apache 2.0 license.

Summary of the canopylabs/orpheus-3b-0.1-ft model card, 2026-10-01

What it is

Released bycanopylabs
Released2025-03-17
Parameters3.8B
VRAM7.6 GB for the weights

What it runs on

Memory and cards for orpheus-3b-0.1-ft (FP32)

7.6 GBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

Builds

Sizes, precisions & builds

BuildParamsPrecisionWeightsSmallest setup
orpheus-3b-0.1-ft (above) ↗ 3.8BFP32 7.6 GBRTX 3060 12 GB
orpheus-3b-0.1-ft ↗
packaged by unsloth
3.3BBF16 6.6 GBRTX 3060 12 GB
orpheus-3b-0.1-ft-GGUF ↗
packaged by unsloth
26 builds: IQ1_S 974 MB … F16 6.6 GB
—GGUF 2.1 GBRTX 3060 12 GB
orpheus-3b-0.1-ft-unsloth-bnb-4bit ↗
packaged by unsloth
3.4BINT4 2.5 GBRTX 3060 12 GB

From the model card

What canopylabs says about orpheus-0.1-ft

Read 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 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

Usage

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.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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