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Orpheus-TTS

Llama-based expressive TTS with emotion tags and ~200ms streaming — human-like speech with guided intonation.

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About

Orpheus-TTS is Canopy Labs' 3B-parameter Llama-based speech model (March 2025): text-to-speech with zero-shot voice cloning, guided emotion and intonation via plain-text tags (e.g. <laugh>, <sigh>), and ~200ms streaming latency for realtime use (reducible toward ~100ms with input streaming, per the authors).

Apache 2.0 licensed, with pretrained and finetuned checkpoints on Hugging Face plus multilingual research releases. Inference via the orpheus-speech package (vLLM under the hood). The emotion-tag control is its standout feature versus plainer TTS models. As with all voice-cloning models, impersonation misuse is a real risk — the project disclaims deceptive use.

Specs

Context window

N/A (text-to-speech model; streaming chunked synthesis)

Pricing

Free — open weights (Apache 2.0), self-hosted on your own GPU.

Free quota

Free — download and run the weights yourself (Apache 2.0); 3B model needs a modern GPU.

API access

Self-hosted (orpheus-speech PyPI package; Hugging Face checkpoints; Baseten one-click deploy).

Weights

Open weights

Released

March 18, 2025

Benchmarks

No standardized benchmarks. Provider-claimed (Canopy Labs): "superior to SOTA closed-source models" on naturalness — treat as provider-claimed. Independent: broad community adoption (GGUF/ONNX conversions, Baseten one-click deploy) signals real-world usage.

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

ttsvoice-cloningvoice-agentsreal-timeaudiobooks

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier). Apache 2.0, genuinely useful emotion-tag control, and healthy community adoption (32k HF downloads plus GGUF/ONNX conversions). Docked three points: (1) headline quality claims are provider marketing without independent benchmarks; (2) a 3B Llama-based model needs real GPU resources, unlike lighter TTS options; (3) the project is young (Mar 2025) with a small team behind it.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.8/10
Maintenance · recency, releases, issue load
5.0/10
Openness · license + docs
9.1/10
Manual review · sanity read + red-flag check
7.0/10
  • · HF downloads 32,128 (peer-normalized)
  • · released 574 days ago
  • · manual review: emotion-tag control is genuinely distinctive; 3B model needs real GPU; young project, small team; license: Apache-2.0

Sources