audio-cpp/Ming-3.0-Audio-Tiny-GGUF
text-to-speech model by audio-cpp
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Model card & documentation
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Follow or star audio.cpp for the inference code and integration updates. GGUF conversion of inclusionAI/Ming-3.0-audio-tiny, pinned to revision 25b96e30be3739849bf76c0f48ac11db4a262fb3. Upstream code: Ming-3.0-audio-flash. The single GGUF contains the audio encoder, KDA/MLA MoE Thinker, Talker, audio VAE, CAMPPlus speaker encoder, tokenizers, and configuration. It supports offline transcription, audio understanding, named voices, voice cloning, and spoken responses. Speech output is mono 44.1 kHz. Both quantized packages preserve the audio encoder, Thinker attention and MLP projections, Talker, VAE and speaker encoder. TTS-only memory usage therefore does not shrink with Thinker expert quantization. Reference audio conditions speaker identity. Add referencetext through the request-option map to also use its acoustic prefix. Use s2s with input audio for a Thinker answer synthesized by the Talker. Prefer a reference in the target language for more reliable pronunciation. For lower GPU memory use, add --session-option ming3audio.diskexperts=true. Expert weights remain in host memory and are staged into a bounded GPU…
Read the full model card ↗ · Preview checked 2026-10-30T06:52:27.214Z
Inside the original model card — Document outline
- Ming 3.0 Audio Tiny GGUF
- Update 2026-10-23: The model now runs 2x faster with 20% lower peak VRAM on CUDA in fully resident m
- Package
- Usage
- Performance
- License
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Model overview
audio-cpp/Ming-3.0-Audio-Tiny-GGUF is a text-to-speech model repository published by audio-cpp on Hugging Face. A library was not reported.
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
- Not reported
- Recent downloads (30 days)
- 25,565
- Cumulative likes
- 6
- Hugging Face trending score
- 3
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T17:19:16.000Z
- Last modified
- 2026-10-24T03:34:34.000Z
Compatibility and lineage
Reported languages: zh, en
Reported base models: inclusionAI/Ming-3.0-audio-tiny
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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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
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