tokforge-assets

Published by TokForge for on-device inference.

Support assets used by TokForge.

This repository is not a standalone language model release. It stores auxiliary runtime assets that are useful to the app and related tooling.

Current contents

• kokoro-en-v0_19/: Kokoro v0.19 text-to-speech (ONNX, fp32 and INT8)
• sherpa-onnx-whisper-tiny.en/: Whisper tiny.en speech recognition (ONNX INT8)
• zipvoice-distill-int8/: ZipVoice-Distill text-to-speech with a Vocos vocoder (ONNX)
• bge-small/: bge-small-en-v1.5 embeddings (GGUF Q4_K_M)

Intended use

• TokForge app support files
• voice / auxiliary feature experiments
• reproducible hosting of shared runtime assets

Limitations

• Not a full model card for a standalone chat model
• No Hugging Face Inference widget is expected here
• Contents may evolve as TokForge asset packaging changes

TokForge

• Website: https://tokforge.ai
• Discord: https://discord.gg/Acv3CBtfVm
• Google Play: https://play.google.com/store/apps/details?id=dev.tokforge
• iOS TestFlight: https://testflight.apple.com/join/jnufjzRr

Runs on-device in the TokForge app.

License

The folders here are under different licenses. zipvoice-distill-int8/ holds k2-fsa's ZipVoice-Distill model, which k2-fsa publishes under CC-BY-NC (non-commercial) on its model card; the repo metadata declares that, the most restrictive license here. The Vocos vocoder in the same folder is MIT. kokoro-en-v0_19/ is Apache-2.0 except its espeak-ng-data/, which is eSpeak NG data under GPL-3.0. Whisper tiny.en and bge-small-en-v1.5 are MIT. Each part is listed under Credits.

Credits

• Kokoro-82M v0.19 by hexgrad (Hugging Face). Used under the Apache-2.0 license. In kokoro-en-v0_19/.
• eSpeak NG data (GitHub), in kokoro-en-v0_19/espeak-ng-data/ as shipped with the sherpa-onnx Kokoro export. Used under the GPL-3.0 license.
• The Kokoro ONNX export is from sherpa-onnx by k2-fsa (Apache-2.0), via csukuangfj/kokoro-en-v0_19.
• Whisper tiny.en by OpenAI (Hugging Face), in sherpa-onnx-whisper-tiny.en/: unmodified sherpa-onnx INT8 export from csukuangfj/sherpa-onnx-whisper-tiny.en. Used under the MIT license (LICENSE.whisper).
• ZipVoice-Distill by k2-fsa (Hugging Face, GitHub), in zipvoice-distill-int8/. As k2-fsa publishes it: the code is under the Apache-2.0 license, and the pre-trained model is under CC-BY-NC (non-commercial) because of its Emilia training data.
• Vocos mel 24 kHz vocoder by Charactr (Hugging Face). Used under the MIT license. As zipvoice-distill-int8/vocos_24khz.onnx.
• bge-small-en-v1.5 by BAAI (Hugging Face). Used under the MIT license. As bge-small/bge-small-en-v1.5-q4_k_m.gguf, quantized with llama.cpp.