BricksDisplay/OuteTTS-0.2-500M-GGUF
text-to-speech model by BricksDisplay
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Model card & documentation
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OuteAI's OuteTTS-0.2-500M with its reference voices built in. Two files make one model, as with llama.cpp's multimodal projectors: the model file is the text-to-speech LM backbone, run by llama.cpp; the codec file holds the audio side (decoder / vocoder, speaker encoders and the adaptor between the two), run by codec.cpp. The runtimes below wire the two graphs together, on CPU or GPU (CUDA, Vulkan, Metal), fully offline. Every run needs one model file + one codec file from this repo. The model files are OuteAI's own GGUFs, unchanged. The codec file carries this model's voices; use it only with this model. Other files With codec.cpp's tts-cli (build it; it bundles llama.cpp), then: List and pick voices: All tts-cli options (voices, voice cloning, sampling, GPU) are described in the codec.cpp README. The codeccpp package runs the same pipeline (it builds codec.cpp with its bundled llama.cpp, so it needs CMake and a…
Read the full model card ↗ · Preview checked 2026-10-29T03:40:48.159Z
Inside the original model card — Document outline
- OuteTTS-0.2-500M — GGUF
- Files
- Command line (codec.cpp)
- Python
- React Native (llama.rn)
- Sampling
- Voices
- Input text
- License
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Model overview
BricksDisplay/OuteTTS-0.2-500M-GGUF is a text-to-speech model repository published by BricksDisplay 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)
- 0
- Cumulative likes
- 0
- 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
- 2026-10-20T06:15:40.000Z
- Last modified
- 2026-10-20T06:17:18.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: OuteAI/OuteTTS-0.2-500M
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 2026-10-20T06:43:37.702Z. Daily imports are snapshots, not real-time monitoring.
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