An 82M-parameter text-to-speech model built on StyleTTS 2 components, shipped with a set of preset voices across several languages.
canopylabs/orpheus-3b-0.1-ft
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.ModelText to speech3.8B paramsEst. LaptopEstimated minimum compute for inference: Recent laptop with 16 GB or more. Not a benchmark.Apache 2.0GatedGated upstream: accept the owner's terms on Hugging Face to download.
About
A Llama-based speech LLM fine-tuned for English TTS with preset voices, inline non-verbal tags such as laughs and sighs, and streaming output.
Why it matters for physical AI
It is a strong open choice for expressive character voices on companion robots when a GPU host is available.
Summary written by FrontierOS in our own words. The upstream card and license govern use. Metadata checked 27 Sep 2026. Read the full card on Hugging Face
Files, weights and version history live on Hugging Face. FrontierOS indexes this repo; it does not host or mirror it.
Gated upstream. Accept the owner's terms on Hugging Face and sign in with hf auth login before downloading.
hf download canopylabs/orpheus-3b-0.1-ftUses the Hugging Face CLI (pip install -U huggingface_hub). This downloads the whole repo; add --include "<pattern>" to fetch only the files you need.
More text to speech
Browse allThe official collection of ONNX voice models for the Piper offline TTS engine, covering many languages at several size and quality levels.
A 100M-parameter CPU-oriented TTS model from Kyutai with voice cloning from a reference clip and support for English plus five other European languages, designed to run faster than real time using two CPU cores.