Automatic Speech Recognition
LiteRT
LiteRT
qwen
qwen3
chinese
cantonese
on-device
soniqo
speech-cloud
speech-core
Instructions to use soniqo/Qwen3-ASR-0.6B-Encoder-LiteRT-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use soniqo/Qwen3-ASR-0.6B-Encoder-LiteRT-INT8 with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
card: unified LiteRT model card with soniqo.audio + ecosystem links
Browse files
README.md
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- litert
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- on-device
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base_model: Qwen/Qwen3-ASR-0.6B
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library_name: litert
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pipeline_tag: automatic-speech-recognition
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---
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# Qwen3
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Audio encoder of Qwen3-ASR-0.6B, specialized for Chinese (including 22
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Chinese dialects) and 30 additional languages. Exported to LiteRT for
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- [speech-android](https://github.com/soniqo/speech-android) β Android SDK
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- [soniqo.audio](https://soniqo.audio) β website
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- [blog](https://soniqo.audio/blog) β blog
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- litert
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- tflite
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- on-device
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- soniqo
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- speech-cloud
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- speech-core
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base_model: Qwen/Qwen3-ASR-0.6B
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library_name: litert
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pipeline_tag: automatic-speech-recognition
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---
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# Qwen3 ASR 0.6B Encoder β LiteRT (INT8)
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Qwen3-ASR audio encoder (zh / yue / en). INT8 weight-only.
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> Part of the [**soniqo.audio**](https://soniqo.audio) speech toolkit β
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> an open, runtime-portable stack for speech AI. This bundle is the
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> **LiteRT** export; served from cloud by
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> [`speech-cloud`](https://github.com/soniqo/speech-cloud) and embeddable
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> on-device through [`speech-core`](https://github.com/soniqo/speech-core).
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> Browse all LiteRT bundles in the
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> [**soniqo LiteRT collection**](https://huggingface.co/collections/soniqo/litert).
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## Use cases on soniqo.audio
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- [Multilingual transcription](https://soniqo.audio/transcription/)
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Audio encoder of Qwen3-ASR-0.6B, specialized for Chinese (including 22
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Chinese dialects) and 30 additional languages. Exported to LiteRT for
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- [speech-android](https://github.com/soniqo/speech-android) β Android SDK
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- [soniqo.audio](https://soniqo.audio) β website
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- [blog](https://soniqo.audio/blog) β blog
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## Ecosystem
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- [**soniqo.audio**](https://soniqo.audio) β use-case explorer (transcription, voice cloning, live ASR, voice agents).
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- [**speech-cloud**](https://github.com/soniqo/speech-cloud) β C++ cloud API server. Runs LiteRT models behind `/v1/transcribe`, `/v1/realtime`, and (planned) `/v1/audio/speech`.
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- [**speech-core**](https://github.com/soniqo/speech-core) β C++ orchestration library for voice agents. Abstract `STTInterface` / `TTSInterface` / `VADInterface` / `EnhancerInterface`; LiteRT implementations plug straight into the interfaces.
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- [**speech-models**](https://github.com/soniqo/speech-models) β the exporters that produced this bundle.
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- [**speech-swift**](https://github.com/soniqo/speech-swift) β Apple Silicon MLX companion runtime (model-specific MLX bundles linked above where applicable).
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## Other LiteRT models in this collection
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**ASR / Transcription**
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- [Parakeet TDT 0.6B v3 β LiteRT (INT8)](https://huggingface.co/soniqo/Parakeet-TDT-0.6B-v3-LiteRT-INT8)
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- [Nemotron Speech Streaming 0.6B β LiteRT](https://huggingface.co/soniqo/Nemotron-Speech-Streaming-LiteRT)
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- [Omnilingual ASR CTC 300M β LiteRT](https://huggingface.co/soniqo/Omnilingual-ASR-CTC-300M-LiteRT)
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- [Omnilingual ASR CTC 300M β LiteRT (INT8)](https://huggingface.co/soniqo/Omnilingual-ASR-CTC-300M-LiteRT-INT8)
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**VAD / Diarization**
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- [Silero VAD v5 β LiteRT](https://huggingface.co/soniqo/Silero-VAD-v5-LiteRT)
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- [Pyannote Segmentation 3.0 β LiteRT](https://huggingface.co/soniqo/Pyannote-Segmentation-LiteRT)
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- [WeSpeaker ResNet34-LM β LiteRT](https://huggingface.co/soniqo/WeSpeaker-ResNet34-LM-LiteRT)
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**TTS / Voice Cloning**
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- [VoxCPM2 β LiteRT (INT8)](https://huggingface.co/soniqo/VoxCPM2-LiteRT-INT8)
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## License
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This bundle inherits the upstream model license (**apache-2.0**). See the
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linked `base_model` repository for the full terms.
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