Serveurperso/OmniVoice-GGUF

text-to-speech model by Serveurperso

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GGUF weights for omnivoice.cpp, a C++17/GGML port of OmniVoice (k2-fsa/OmniVoice). Multilingual zero shot TTS, 646 languages, 24 kHz mono. Runs on CPU, CUDA, ROCm, Metal, Vulkan. Two GGUFs load together : omnivoice-base-{variant}.gguf Qwen3 0.6B backbone, text -> tokens omnivoice-tokenizer-{variant}.gguf HuBERT + DAC + RVQ, tokens 24 kHz audio Set GGMLBACKEND to force a device, otherwise the runtime picks the best one available. Tokenizer GGUFs are not uniform quants. Three categories get a dedicated treatment : Same fallback as llama.cpp tensortypefallback : F16 has no block size and matches the runtime target dtype on every backend. The base LM (Qwen3 0.6B, hidden = 1024) has all dimensions divisible by 256 so the fallback never triggers,…

Serveurperso/OmniVoice-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T18:29:13.179Z

Inside the original model card — Document outline
  1. OmniVoice GGUF
  2. Files
  3. Quick start
  4. Backends
  5. Quantization policy
  6. License

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Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

Serveurperso/OmniVoice-GGUF is a text-to-speech model repository published by Serveurperso on Hugging Face. The source reports the gguf library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-speech
Library
gguf
Recent downloads (30 days)
49,547
Cumulative likes
82
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
cc-by-nc-4.0
Access
Not gated by Hugging Face
Created
2026-04-27T10:39:26.000Z
Last modified
2026-09-09T15:03:21.000Z

Compatibility and lineage

Reported languages: en, fr, de, es, it, pt, zh, ja, ko, ar, ru

Reported base models: k2-fsa/OmniVoice

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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