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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
Source description
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.
Sources
1 sourceVerified Sep 13
Model artifacts
1 artifactSource excerpts
2 excerpts| 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 |
| File | Size | Description |
|---|---|---|
onnx/model_fp16.onnx | ~156 MB | FP16 ONNX model (self-contained) |
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.
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.
Kokoro-82M produces realistic synthetic speech (from preset voice styles, not arbitrary speaker cloning).
Apache 2.0 — inherited from
hexgrad/Kokoro-82M. This packaging repo adds no new license terms.
--- 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
