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kokoro-82m
echo-dust/kokoro-82m
kokoro-82m is a text-to-speech model from echo-dust. Use it when you need text read aloud. It is set up for transformers.js. The card lists the license as apache-2.0.
A pinned copy of onnx-community/Kokoro-82M-v1.0-ONNX with one file changed, kept under this account so the app that loads it controls versioning. The app pins a commit of this repo; nothing here is meant to move under…
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At a glance
- Task
- Text-to-Speech
- Library
- transformers.js
- License
- apache-2.0
- Model type
- style_text_to_speech_2
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026
- SHA
- 9dc7a52e
Base models
Model card
From the Hugging Face model README
Kokoro-82M v1.0 ONNX — mirror for the Reader PWA
A pinned copy of onnx-community/Kokoro-82M-v1.0-ONNX
with one file changed, kept under this account so the app that loads it controls
versioning. The app pins a commit of this repo; nothing here is meant to move underneath it.
| file | what it is |
|---|---|
onnx/model.onnx | fp32, patched for onnxruntime-web's WebGPU backend (see below) |
onnx/model_uint8.onnx | official, unchanged — the CPU "Faster" model |
onnx/model_quantized.onnx | official, unchanged — the CPU "Higher fidelity" model (q8) |
config.json, tokenizer.json, tokenizer_config.json | official, unchanged |
voices/*.bin | official, unchanged |
The WebGPU patch
onnxruntime-web's WebGPU ConvTranspose returns wrong values for the vocoder's
upsampling layers (/decoder/decoder/generator/ups.0 and ups.1): the output has the
right length and is loud noise (peaks ~3e5–4e7 instead of ~0.6). Measured on AMD RDNA-3
with onnxruntime-web 1.22 and 1.30. Each of those ConvTranspose nodes is rewritten as
the mathematically identical zero-insertion upsample followed by an ordinary Conv,
which WebGPU computes correctly. CPU output is unchanged (cosine similarity 1.0,
max difference 1.5e-6 per the original author).
The rewrite and its script come from
DevAmarnadh/Kokoro-82M-v1.0-ONNX-webgpu
(fix_kokoro_webgpu.py). The file here was rebuilt independently from the official
onnx/model.onnx with that script and is byte-identical to the author's upload:
fix_kokoro_webgpu.py sha256 aa24cf0c66b5afc08049b22fd627b8ca7557223cca027fd7b7f035835b8d0dbb
onnx/model.onnx (official) sha256 8fbea51ea711f2af382e88c833d9e288c6dc82ce5e98421ea61c058ce21a34cb
onnx/model.onnx (this repo) sha256 4c1aaa3cebf93f6cef797a36e978907305a3361288ba1c471400bddc0e0e2709
Rebuilt 2026-09-20 with onnx 1.23.0 / numpy 2.4.6 (Python 3.11).
Upstream
- Kokoro-82M: hexgrad/Kokoro-82M, Apache-2.0.
- ONNX export: onnx-community/Kokoro-82M-v1.0-ONNX.
- ORT bug tracking: microsoft/onnxruntime#29807.
- Task
- Text-to-Speech
- Library
- transformers.js
- Type
- style_text_to_speech_2
- License
- apache-2.0
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026