Mirror the GitHub-hosted speech, VAD and VLM assets, grouped by capability
Browse files- README.md +42 -0
- stt/sherpa-onnx-whisper-base.en.tar.bz2 +3 -0
- stt/sherpa-onnx-whisper-small.en.tar.bz2 +3 -0
- stt/sherpa-onnx-whisper-tiny.en.tar.bz2 +3 -0
- stt/sherpa-onnx-whisper-tiny.en.tar.gz +3 -0
- tts/sherpa-onnx-supertonic-3-tts-int8-2026-05-11.tar.bz2 +3 -0
- tts/vits-piper-en_GB-alba-medium.tar.gz +3 -0
- tts/vits-piper-en_US-amy-medium.tar.bz2 +3 -0
- tts/vits-piper-en_US-lessac-medium.tar.bz2 +3 -0
- tts/vits-piper-en_US-lessac-medium.tar.gz +3 -0
- tts/vits-piper-en_US-ryan-medium.tar.bz2 +3 -0
- vad/silero_vad.onnx +3 -0
- vlm/smolvlm-500m-instruct-q8_0.tar.gz +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- sherpa-onnx
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- speech-to-text
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- text-to-speech
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- voice-activity-detection
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---
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# RunAnywhere models
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Speech, vision and voice-activity assets used by the RunAnywhere example apps.
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These were previously fetched from GitHub release pages. They live here so every
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model the apps download comes from one place, with the same host, auth and
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resume behaviour as the rest of the catalog.
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Files are grouped by capability.
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| Folder | Contents |
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|---|---|
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| `stt/` | Whisper tiny, base and small, packaged for sherpa-onnx |
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| `tts/` | Piper VITS voices (Alba, Amy, Lessac, Ryan) and Supertonic 3 int8 |
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| `vad/` | Silero VAD |
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| `vlm/` | SmolVLM 500M instruct |
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Both `.tar.gz` and `.tar.bz2` builds of Whisper tiny and the Lessac voice are
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kept, because the desktop and mobile apps expect different archive formats.
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## Where these came from
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Nothing here was trained or modified by RunAnywhere. Each file is a byte-for-byte
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copy of an upstream release.
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- Whisper and Piper packaging, and Supertonic 3, come from
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[k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) releases (Apache-2.0).
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- Silero VAD comes from [snakers4/silero-vad](https://github.com/snakers4/silero-vad) (MIT).
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- Whisper is [OpenAI's](https://github.com/openai/whisper) (MIT), Piper is
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[Rhasspy's](https://github.com/rhasspy/piper) (MIT), and SmolVLM is
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[Hugging Face's](https://huggingface.co/HuggingFaceTB) (Apache-2.0).
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Original licenses apply. Please credit the upstream projects rather than this mirror.
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stt/sherpa-onnx-whisper-small.en.tar.bz2
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version https://git-lfs.github.com/spec/v1
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stt/sherpa-onnx-whisper-tiny.en.tar.bz2
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version https://git-lfs.github.com/spec/v1
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stt/sherpa-onnx-whisper-tiny.en.tar.gz
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version https://git-lfs.github.com/spec/v1
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tts/sherpa-onnx-supertonic-3-tts-int8-2026-05-11.tar.bz2
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version https://git-lfs.github.com/spec/v1
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tts/vits-piper-en_GB-alba-medium.tar.gz
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version https://git-lfs.github.com/spec/v1
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tts/vits-piper-en_US-amy-medium.tar.bz2
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version https://git-lfs.github.com/spec/v1
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tts/vits-piper-en_US-lessac-medium.tar.bz2
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version https://git-lfs.github.com/spec/v1
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tts/vits-piper-en_US-lessac-medium.tar.gz
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tts/vits-piper-en_US-ryan-medium.tar.bz2
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version https://git-lfs.github.com/spec/v1
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vad/silero_vad.onnx
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version https://git-lfs.github.com/spec/v1
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vlm/smolvlm-500m-instruct-q8_0.tar.gz
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version https://git-lfs.github.com/spec/v1
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