Add model card, licenses, and download manifest

LICENSES/Apache-2.0.txt

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LICENSES/MIT.txt

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+MIT License
+
+Copyright (c) the respective upstream authors and contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
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+furnished to do so, subject to the following conditions:
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+copies or substantial portions of the Software.
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+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+SOFTWARE.
+

README.md

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+---
+license: other
+language:
+  - ja
+pipeline_tag: text-to-speech
+tags:
+  - onnx
+  - ios
+  - on-device
+  - irodori-tts
+---
+
+# Onsei iOS ONNX Model Packs
+
+ONNX model packs exported for the Onsei iOS client from the following upstream models:
+
+- [`Aratako/Irodori-TTS-500M-v3`](https://huggingface.co/Aratako/Irodori-TTS-500M-v3), source revision `236c1e56591279fc24e3c1bf6609fc06e48dde28`
+- [`Aratako/Irodori-TTS-600M-v3-VoiceDesign`](https://huggingface.co/Aratako/Irodori-TTS-600M-v3-VoiceDesign), source revision `e863a3a93e652e09afeff3e84823a206a0a60314`
+- [`Aratako/Semantic-DACVAE-Japanese-32dim`](https://huggingface.co/Aratako/Semantic-DACVAE-Japanese-32dim)
+- Tokenizer from [`llm-jp/llm-jp-3-150m`](https://huggingface.co/llm-jp/llm-jp-3-150m)
+
+These files are converted runtime artifacts, not new model weights. They are not affiliated with or endorsed by the upstream authors.
+
+## Packs
+
+- `500m-v3/`: standard Japanese TTS and reference-audio voice cloning.
+- `600m-v3-vd/`: VoiceDesign model with caption conditioning.
+
+Each pack contains the split `context_kv.onnx` + `dit_step.onnx` execution path used by the Onsei iOS app, DACVAE encode/decode, speaker and text encoders, duration prediction, configuration, and tokenizer data. `manifest.json` records file sizes and SHA-256 digests used by the app to verify downloads.
+
+## Licenses and attribution
+
+The Irodori-TTS model weights, Semantic-DACVAE model weights, and conversion code are distributed under the MIT License. The llm-jp tokenizer is distributed under Apache License 2.0. See `LICENSES/` and `THIRD_PARTY_NOTICES.md`. Each component remains subject to its own license; no relicensing is implied.
+
+## Responsible use
+
+The upstream model cards request that users:
+
+1. Do not clone or impersonate a person's voice without explicit consent.
+2. Do not create misleading deepfakes or synthetic speech intended to spread misinformation.
+3. Recognize that text-only output may coincidentally resemble a real voice.
+4. Take responsibility for compliance with applicable law.
+
+The ONNX export used here does not add a SilentCipher watermark. Applications using these files should clearly disclose synthetic audio where appropriate and must enforce consent for voice cloning.
+
+## Citation
+
+```bibtex
+@misc{irodori-tts-v3,
+  author = {Chihiro Arata},
+  title = {Irodori-TTS: A Flow Matching-based Text-to-Speech Model with Emoji-driven Style Control},
+  year = {2026},
+  publisher = {Hugging Face},
+  howpublished = {https://huggingface.co/Aratako/Irodori-TTS-500M-v3}
+}
+```
+

THIRD_PARTY_NOTICES.md

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+# Third-party notices
+
+## Irodori-TTS
+
+- Copyright: Chihiro Arata and contributors
+- Sources: https://huggingface.co/Aratako/Irodori-TTS-500M-v3 and https://huggingface.co/Aratako/Irodori-TTS-600M-v3-VoiceDesign
+- License: MIT (`LICENSES/MIT.txt`)
+- Changes: converted from PyTorch checkpoints to ONNX; split static conditioning projection into `context_kv.onnx`; fixed export dimensions for the iOS runtime.
+
+The responsible-use restrictions and disclaimers from the upstream model cards are reproduced in this repository's README.
+
+## Semantic-DACVAE-Japanese-32dim
+
+- Copyright: Chihiro Arata and contributors
+- Source: https://huggingface.co/Aratako/Semantic-DACVAE-Japanese-32dim
+- License: MIT (`LICENSES/MIT.txt`)
+- Changes: converted encoder and decoder to ONNX for the iOS runtime.
+
+## llm-jp-3-150m tokenizer
+
+- Copyright: LLM-jp / National Institute of Informatics contributors
+- Source: https://huggingface.co/llm-jp/llm-jp-3-150m
+- License: Apache License 2.0 (`LICENSES/Apache-2.0.txt`)
+- Files redistributed: tokenizer JSON and tokenizer configuration metadata.
+
+## ONNX export code
+
+- Source: https://github.com/Aratako/Irodori-TTS
+- License: MIT (`LICENSES/MIT.txt`)
+

manifest.json

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+{
+  "schemaVersion": 1,
+  "repository": "raratu/Onsei-iOS-Models",
+  "revision": "main",
+  "packs": {
+    "500m-v3": {
+      "files": [
+        {
+          "path": "config.json",
+          "size": 1687,
+          "sha256": "aa6623c019677054e67382062b9f32a204e66efaf4252e32bf4f5a23a663876d"
+        },
+        {
+          "path": "text_encoder.onnx",
+          "size": 339121171,
+          "sha256": "5ef033d48e31e12c8eb5fdad79d2ff866ccac3366aecf91036fb1d4e3cddad64"
+        },
+        {
+          "path": "context_kv.onnx",
+          "size": 157419444,
+          "sha256": "58727ae357463d004c660e4c4c3f7e9e8607244fde0027ca6ce1aa885bd7026d"
+        },
+        {
+          "path": "dit_step.onnx",
+          "size": 1243778849,
+          "sha256": "79cd707d198afec190d67947dd8042e7b52be65ca7c0fbed26904060d264856a"
+        },
+        {
+          "path": "dacvae_decode.onnx",
+          "size": 261377318,
+          "sha256": "8a48e87e347601cb5eb6ba7dfbdc3aafa586e588448980c5678670fd74b25715"
+        },
+        {
+          "path": "dacvae_encode.onnx",
+          "size": 109422044,
+          "sha256": "43f5d220fd3126a39803d3c779953449a566edab555ed76f0ea16dc0c2a013a9"
+        },
+        {
+          "path": "speaker_encoder.onnx",
+          "size": 242582289,
+          "sha256": "2a076114f8d104e850133752043ae6808d792dfc634657094dc40c35cba885eb"
+        },
+        {
+          "path": "duration.onnx",
+          "size": 68260372,
+          "sha256": "a9ba94bdc981c0caf1753fab68e5ce64106096addeb5c5bb165de11aebfaffcb"
+        },
+        {
+          "path": "tokenizer/tokenizer.json",
+          "size": 6416433,
+          "sha256": "955dc1fa623fab38cc92a3f4ee172423ae6d73201c4207569bfdf5626bc733f0"
+        }
+      ]
+    },
+    "600m-v3-vd": {
+      "files": [
+        {
+          "path": "config.json",
+          "size": 1731,
+          "sha256": "14e2650c7befa35b9491f31a7c1079a86a1872983dadc769d23b47e313bb168a"
+        },
+        {
+          "path": "text_encoder.onnx",
+          "size": 339121171,
+          "sha256": "67105de59d868cfffbde8c705d4a70c0afa47304584caa62efce9e4906f5a6bb"
+        },
+        {
+          "path": "caption_encoder.onnx",
+          "size": 339140739,
+          "sha256": "c429f84f5beb19e5bc78ed2fadd1d59f22a148525265fc8272858806a2cd9ced"
+        },
+        {
+          "path": "context_kv.onnx",
+          "size": 220370335,
+          "sha256": "0a24fa7bac2afa2803fa6ff9003a9b8e9d10669c3d586266e87519d3f014d2d2"
+        },
+        {
+          "path": "dit_step.onnx",
+          "size": 1243780954,
+          "sha256": "c784a61a7a0951c65f23c09e1abc38f74b059d0cfa6da4903322c708e36dddce"
+        },
+        {
+          "path": "dacvae_decode.onnx",
+          "size": 261377318,
+          "sha256": "8a48e87e347601cb5eb6ba7dfbdc3aafa586e588448980c5678670fd74b25715"
+        },
+        {
+          "path": "dacvae_encode.onnx",
+          "size": 109422044,
+          "sha256": "43f5d220fd3126a39803d3c779953449a566edab555ed76f0ea16dc0c2a013a9"
+        },
+        {
+          "path": "speaker_encoder.onnx",
+          "size": 242582307,
+          "sha256": "8b3412ec1ba05b3f3894e70ce1e670311fe97e16fb759e4443c8f0ec130ba859"
+        },
+        {
+          "path": "duration.onnx",
+          "size": 87156783,
+          "sha256": "952377bbd10623eb7b5d353c2047bbbc4f2ae34c3362f54f02528230419bf375"
+        },
+        {
+          "path": "tokenizer/tokenizer.json",
+          "size": 6416433,
+          "sha256": "955dc1fa623fab38cc92a3f4ee172423ae6d73201c4207569bfdf5626bc733f0"
+        }
+      ]
+    }
+  }
+}
+