VibeVoice-1.5B
VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking.
Params
2.7 B
Context
—
Downloads 30d
482 K
Likes
2,486
Download history
tracking started — chart appears after 7 days of snapshots (6 recorded)482 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 5.4 GB | 6.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- VibeVoiceForConditionalGeneration
- Parameters
- 2.7 B
- Tensor type
- BF16
- Licence
- mit
- First seen on the Hub
- 2025-08-25
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-15
Compare with any text-to-speech model
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