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gafiatulin/vibevoice-tts-7b-coreml
vibevoice-tts-7b-coreml is a machine learning model from gafiatulin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vibevoice. The card lists the license as mit.
VibeVoice 7B (Qwen2.5-7B) — CoreML INT8, fused LM+head, fused diffusion loop, DPM-Solver++ 10-step. Multi-speaker TTS with voice cloning.
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Updated Mar 10, 2026
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From the Hugging Face model README
VibeVoice 7B (Qwen2.5-7B) — CoreML INT8, fused LM+head, fused diffusion loop, DPM-Solver++ 10-step. Multi-speaker TTS with voice cloning.
Add vibevoice-coreml to your Swift package. Models auto-download from this repo on first use.
import VibeVoiceCoreML
let tts = try await MultispeakerTTS(architecture: .model7B)
let voices = try await tts.encodeVoices(from: [referenceAudioURL])
for try await frame in tts.speak("Hello world", config: MultispeakerConfig(), voices: voices) {
// frame.samples: [Float] at 24kHz
}
See the GitHub repo for CLI usage, Python pipelines, and conversion scripts.
ct.StateType for stateful models).mlmodelc — no on-device compilation neededlm_decoder_fused_int8.mlmodelcdiffusion_loop.mlmodelcvae_decoder_streaming.mlmodelcsemantic_encoder_streaming.mlmodelcacoustic_connector.mlmodelcsemantic_connector.mlmodelcvae_encoder.mlmodelcembed_tokens.bintokenizer.jsontokenizer_config.jsonMIT (same as upstream VibeVoice models from Microsoft)