Trackdub Kokoro FP16
ONNX export of hexgrad/Kokoro-82M, an open-weight English text-to-speech model, stored in FP16 (half-precision) format. It is not a newly trained model. This is an unofficial community conversion; hexgrad is the...
Model source
- Kind
- Other
- File size
- 156 MB
- Base model
- hexgrad/Kokoro-82M
- Version
- vRevision 4885dc8
- Updated
- Oct 14, 2026
- Publisher
- @tonythethompson
- Downloads
- 0
- Parameters
- 82M
- Source
- Hugging Face
Source description
Kokoro-82M — FP16 ONNX
ONNX export of hexgrad/Kokoro-82M, an open-weight English text-to-speech model, stored in FP16 (half-precision) format. It is not a newly trained model. This is an unofficial community conversion; hexgrad is the original model author.
Source
| Field | Value |
|---|---|
| Upstream model | onnx-community/Kokoro-82M-v1.0-ONNX |
| Upstream source revision | 1939ad2a8e416c0acfeecc08a694d14ef25f2231 |
| Export tool/script | Mirrored from onnx-community (no re-export) |
| Quantization recipe | FP16 ONNX mirrored from onnx/model_fp16.onnx |
Files
| File | Size | Description |
|---|---|---|
onnx/model_fp16.onnx | ~156 MB | FP16 ONNX model (self-contained) |
Intended Use
An English text-to-speech model packaged for local inference via ONNX Runtime. The FP16
variant targets GPU execution for faster inference and higher audio-quality preservation
than quantized variants. The Q8/FP16 variant is in
tonythethompson/kokoro-82m-q8f16-onnx.
Runtime Notes
- Designed for ONNX Runtime compatible runtimes.
- Execution: GPU (CUDA) preferred for FP16; CPU fallback may work but is untested and slower.
- Sample rate: 24 kHz (inherited from Kokoro-82M).
- Validate on the target execution provider before production use.
Precision and Packaging
Export tooling, precision, and quantization are recorded in the Source table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use.
Limitations
- English-only TTS.
- No parity evaluation against the original Kokoro-82M PyTorch model is documented here.
- Voice quality may differ from the reference PyTorch implementation due to ONNX export approximations.
- FP16 requires hardware support for float16; some CPU runtimes may upcast silently or error.
Safety and Responsible Use
Kokoro-82M produces realistic synthetic speech (from preset voice styles, not arbitrary speaker cloning).
- Do not use to impersonate real individuals without their explicit consent.
- Do not generate synthetic speech intended to deceive listeners about a speaker's identity.
- Disclose AI-generated audio where listeners would reasonably expect a human voice.
- Users are responsible for compliance with applicable laws governing synthetic media in their jurisdiction.
License
Apache 2.0 — inherited from
hexgrad/Kokoro-82M. This packaging repo adds no new license terms.
Sources
1 source
Sources
1 sourceVerified Aug 7
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: apache-2.0 base_model: hexgrad/Kokoro-82M base_model_relation: quantized pipeline_tag: text-to-speech library_name: onnxruntime language: - en tags: - onnx - onnxruntime - kokoro - tts - text-to-speech - fp16 --- # Kokoro-82M — FP16 ONNX ONNX export of [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M), an open-weight English text-to-speech model, stored in FP16 (half-precision) format. It is not a newly trained model. This is an unofficial community conversion; hexgrad is the original model author. ## Source | Field | Value | |---|---| | Upstream model | [onnx-community/Kokoro-82M-v1.0-ONNX](https://huggingface.co/onnx-community/Kokoro-82M-v1.0-ONNX) | | Upstream source revision | `1939ad2a8e416c0acfeecc08a694d14ef25f2231` | | Export tool/script | Mirrored from onnx-community (no re-export) | | Quantization recipe | FP16 ONNX mirrored from `onnx/model_fp16.onnx` | ## Files | File | Size | Description | |---|---|---| | `onnx/model_fp16.onnx` | ~156 MB | FP16 ONNX model (self-contained) | ## Intended Use An English text-to-speech model packaged for local inference via ONNX Runtime. The FP16 variant targets GPU execution for faster inference and higher audio-quality preservation than quantized variants. The Q8/FP16 variant is in [`tonythethompson/kokoro-82m-q8f16-onnx`](https://huggingface.co/tonythethompson/kokoro-82m-q8f16-onnx). ## Runtime Notes - Designed for ONNX Runtime compatible runtimes. - Execution: GPU (CUDA) preferred for FP16; CPU fallback may work but is untested and slower. - Sample rate: 24 kHz (inherited from Kokoro-82M). - Validate on the target execution provider before production use. ## Precision and Packaging Export tooling, precision, and quantization are recorded in the **Source** table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use. ## Limitations - English-only TTS. - No parity evaluation against the original Kokoro-82M PyTorch model is documented here. - Voice quality may differ from the reference PyTorch implementation due to ONNX export approximations. - FP16 requires hardware support for float16; some CPU runtimes may upcast silently or error. ## Safety and Responsible Use Kokoro-82M produces realistic synthetic speech (from preset voice styles, not arbitrary...
Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Library onnxruntime · Repo tonythethompson/Kokoro-82M-FP16-ONNX
Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Library onnxruntime · Repo tonythethompson/trackdub-kokoro-fp16
