VibeVoice
Collection
5 items • Updated
Text-to-Speech
Transformers
Safetensors
MLX
English
vibevoice_streaming
Realtime TTS
Streaming text input
Long-form speech generation
4-bit precision
# Load model directly
from transformers import VibeVoiceStreamingForConditionalGenerationInference
model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained("mlx-community/VibeVoice-Realtime-0.5B-4bit", dtype="auto")Quick Links
mlx-community/VibeVoice-Realtime-0.5B-4bit
This model was converted to MLX format from microsoft/VibeVoice-Realtime-0.5B using mlx-audio version 0.2.6.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-audio
python -m mlx_audio.tts.generate --model mlx-community/VibeVoice-Realtime-0.5B-4bit --text "Hello, this is VibeVoice real-time 0.5B model." --voice en-Emma_woman
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Model size
0.2B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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4-bit
Model tree for mlx-community/VibeVoice-Realtime-0.5B-4bit
Base model
Qwen/Qwen2.5-0.5B
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="mlx-community/VibeVoice-Realtime-0.5B-4bit")