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MetaVoice-1B

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What MetaVoice-1B is

MetaVoice-1B is a text-to-speech base model with 1.2 billion parameters, trained on 100,000 hours of speech. It focuses on expressive delivery in English, including emotional rhythm and tone, and supports voice cloning. Fine-tuning can enable cross-lingual voice cloning; the project reports success for Indian speakers with as little as one minute of training data. The project is released under the Apache 2.0 license and says it permits use without restrictions, including commercial use. Ways to work with it include a local implementation, web UI, inference server, Hugging Face, and a Google Colab demo. The server can be deployed on AWS, GCP, or Azure, and API definitions are available at its /docs endpoint. Local installation requires a GPU with at least 12 GB of VRAM, Python 3.10 to below 3.12, and pipx. The reference inference script takes 30 to 90 seconds to start while compiling. Experimental int4 and int8 inference may reduce audio quality.

Who it suits

It suits developers and creators seeking text-to-speech with expressive English delivery or voice cloning. Local installation is for users with the specified GPU and Python prerequisites.

What it does well

  • Free plan and Apache 2.0 license.
  • Commercial use is permitted.
  • Offers voice cloning and fine-tuning.
  • Includes a web UI, server, and Colab demo.
  • API definitions are provided at /docs.

What to know first

  • Local setup needs a GPU with at least 12 GB VRAM.
  • Requires Python 3.10 to below 3.12 and pipx.
  • Startup takes 30 to 90 seconds for compilation.
  • Experimental quantization can reduce audio quality.

Verdict

MetaVoice-1B offers multiple access routes and supports voice cloning, including cross-lingual fine-tuning. Check the local hardware requirements and startup delay before choosing that deployment path.

Facts from MetaVoice-1B's own pages

Access options
The page lists local use, Hugging Face, and a Google Colab demo as ways to use the model. · github.com, 12 Oct 2026
API
The inference server provides API definitions at its /docs route. · github.com, 13 Oct 2026
API access
Yes · github.com, 20 Sept 2026
Commercial use
Yes · github.com, 20 Sept 2026
Dataset caveat
The fine-tuning workflow does not check for overlap between training and validation datasets, so the page advises keeping them disjoint. · github.com, 12 Oct 2026
Deployment
The project provides a web UI and inference server that can be deployed on AWS, GCP, or Azure. · github.com, 12 Oct 2026
Expressive speech
The project prioritizes emotional speech rhythm and tone in English. · github.com, 12 Oct 2026
Fine-tuning
The project supports fine-tuning the first-stage language model and describes cross-lingual voice cloning with fine-tuning. · github.com, 13 Oct 2026
Fine-tuning data limit
The fine-tuning instructions say the project does not check for overlap between training and validation datasets. · github.com, 13 Oct 2026
Free plan
Yes · github.com, 20 Sept 2026
Hardware requirement
Installation requires a GPU with at least 12 GB of VRAM, Python 3.10 to below 3.12, and pipx. · github.com, 12 Oct 2026
Hardware requirements
Installation prerequisites include a GPU with at least 12 GB of VRAM and Python 3.10 or later but earlier than 3.12. · github.com, 13 Oct 2026
Integrations
The README describes an optional Weights & Biases integration for logging fine-tuning runs. · github.com, 13 Oct 2026
License
The model is released under the Apache 2.0 license, which the project describes as usable without restrictions. · github.com, 13 Oct 2026
Performance
After compilation, the synthesise API runs faster than real time on Ampere, Ada-Lovelace, and Hopper GPUs, according to the project page. · github.com, 12 Oct 2026
Platforms
web,api,self_hosted · github.com, 20 Sept 2026
Purpose
MetaVoice-1B is a 1.2-billion-parameter text-to-speech model trained on 100,000 hours of speech. · github.com, 13 Oct 2026
Quantization limit
Experimental int4 and int8 inference can run faster, but the project says this degrades audio quality. · github.com, 13 Oct 2026
Speech style
The model is designed for emotional speech rhythm and tone in English. · github.com, 13 Oct 2026
Startup time
The reference inference script takes 30 to 90 seconds to start, depending on hardware, because it compiles the model. · github.com, 12 Oct 2026
Support
The repository directs users to its active GitHub issues for contributions and discussion. · github.com, 13 Oct 2026
Tracking integration
The project offers optional Weights & Biases logging, enabled through configuration and installing the relevant dependencies. · github.com, 12 Oct 2026
Voice cloning
It supports zero-shot cloning of American and British voices using 30 seconds of reference audio. · github.com, 13 Oct 2026
Ways to use
The project documents a local reference implementation, a web UI, an inference server, Hugging Face usage, and a Google Colab demo. · github.com, 13 Oct 2026

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