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vibevoice-cpp
VibeVoice Realtime 0.5B (C++ / GGML, Q8_0) - native C++ port of Microsoft VibeVoice via the vibevoice-cpp backend. 24kHz mono TTS with a selectable precomputed voice prompt. Default voice prompt: en-Carter_man. This realtime variant does not accept raw Voice Library reference WAVs.

Repository: localaiLicense: mit

vibevoice-cpp-asr
VibeVoice ASR 7B (C++ / GGML, Q4_K) - long-form speech-to-text with speaker diarization. Returns per-speaker JSON segments with start/end timestamps. English-only. ~10 GB download.

Repository: localaiLicense: mit

vibevoice

Repository: localaiLicense: mit

vibevoice-crispasr
VibeVoice ASR. Runs via the CrispASR backend. Default GGUF size ~4.5 GB.

Repository: localai

vibevoice-asr-bitnet-crispasr
Microsoft VibeVoice-ASR-BitNet is a 1.5B-parameter multilingual speech recognition model for English, Chinese, French, Italian, Korean, Portuguese, and Vietnamese. Its BitNet-trained language-model projections use ternary TQ2_0 weights. This recommended CrispASR build keeps the VAE encoder in Q8_0 and the embedding in F16, and is approximately 1.55 GB.

Repository: localaiLicense: mit

vibevoice-asr-bitnet-embed-q8-crispasr
Microsoft VibeVoice-ASR-BitNet is a 1.5B-parameter multilingual speech recognition model. This approximately 1.34 GB CrispASR build uses ternary TQ2_0 language-model projections, a Q8_0 VAE encoder, and a Q8_0 embedding.

Repository: localaiLicense: mit

vibevoice-asr-bitnet-vae-q5-crispasr
Microsoft VibeVoice-ASR-BitNet is a 1.5B-parameter multilingual speech recognition model. This approximately 1.33 GB CrispASR build uses ternary TQ2_0 language-model projections, a Q5_0 VAE encoder, and an F16 embedding.

Repository: localaiLicense: mit

vibevoice-asr-bitnet-both-q5-crispasr
Microsoft VibeVoice-ASR-BitNet is a 1.5B-parameter multilingual speech recognition model. This approximately 1.12 GB CrispASR build uses ternary TQ2_0 language-model projections, a Q5_0 VAE encoder, and a Q8_0 embedding.

Repository: localaiLicense: mit

vibevoice-asr-bitnet-vae-q4-crispasr
Microsoft VibeVoice-ASR-BitNet is a 1.5B-parameter multilingual speech recognition model. This approximately 1.26 GB CrispASR build uses ternary TQ2_0 language-model projections, a Q4_0 VAE encoder, and an F16 embedding.

Repository: localaiLicense: mit

vibevoice-asr-bitnet-aggro-crispasr
Microsoft VibeVoice-ASR-BitNet is a 1.5B-parameter multilingual speech recognition model for English, Chinese, French, Italian, Korean, Portuguese, and Vietnamese. This compact CrispASR build combines ternary TQ2_0 language-model projections with a Q4_0 VAE encoder and Q8_0 embedding, reducing the model to approximately 1.05 GB while producing the same JFK benchmark transcription as the larger builds published alongside it.

Repository: localaiLicense: mit

vibevoice-tts-crispasr
VibeVoice Realtime 0.5B text-to-speech (TTS) model, synthesized through the CrispASR backend. Produces 24 kHz mono audio; runs end-to-end on CPU with a built-in default voice. Default GGUF size ~636 MB.

Repository: localai