Omni Voice
Q4 GGUF download: Serveurperso/OmniVoice-GGUF - 0.41 GB on disk, read 2026-09-27. VRAM figures above are estimates; this is the actual file size.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve k2-fsa/OmniVoiceNew to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
Omni Voice
Omni Voice by k2-fsa is an efficient text-to-speech model with 2.57 million monthly downloads on HuggingFace. At just 0.6 billion parameters, it delivers quality TTS on modest hardware.
Key features
- 0.6B params - lightweight, runs on CPU
- 2.57M monthly downloads - highly popular
- Apache 2.0 - fully open license
- GGUF support - further quantization available
When to use
- Lightweight TTS - when Kokoro is too small but Qwen3-TTS is too large
- Edge deployment - Raspberry Pi, phones, embedded
- Voice assistants - local TTS without GPU
From the community
What users are saying
“OmniVoice is a state-of-the-art zero-shot multilingual TTS model supporting more than 600 languages. Built on a novel diffusion language model architecture, it generates high-quality speech with superior inference speed, supporting voice cloning and voice design.”
“hello i got a small problem using omni voice tts . i tried the cloning feature , but the problem is that i generated many audios from multiples texts and between generations the voice is not stable . a cloned a woman voice but for some generations , i got a man voice in the audio .”
“Your model is great, works fast, and generates audio beautifully. We would appreciate it if you could develop version 1.7B. Guys, like this post if you're also waiting for a new model. Ваша модель великолепна, работает быстро и отлично генерирует звук. Мы будем признательны, если вы разработаете версию 1.7B.”
Frequently asked
Quick answers to common questions
How much VRAM does Omni Voice need?
Omni Voice with 0.6B parameters needs approximately 2 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Omni Voice better than other OmniVoice models?
Omni Voice has 0.6B parameters with 8,192 context - a strong choice for text-to-speech.
What license is Omni Voice under?
Omni Voice is released under the Apache 2.0 license, making it suitable for most commercial and personal projects.
What hardware runs Omni Voice well?
With 0.6B parameters, Omni Voice requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Omni Voice?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Step up to Q5_K_M or Q8_0 only if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with Omni Voice?
Omni Voice competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
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