mlboydaisuke/Confucius4-R2T2-LiteRT
automatic-speech-recognition model by mlboydaisuke
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Model card & documentation
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netease-youdao/Confucius4-R2T2 converted to the LiteRT-LM (.litertlm) format for on-device speech recognition with Google's LiteRT-LM runtime. Audio in, text out, one file. Confucius4-R2T2 is NetEase Youdao's streaming speech recognition model, built on Qwen3-ASR-1.7B (2.04 B parameters). A 24-layer audio encoder feeds a 28-layer Qwen3 language model, which writes language . The model is optimized for Chinese and English and lists 30 languages. Its streaming mode re-reads the audio received so far at every chunk and continues from the text it has already committed. The file runs on the generic audio path of the released runtime (measured with litert-lm-api 0.17.1). The runtime cuts 16 kHz PCM into 10 ms frames and hands the bundled encoder a 30 s window; the encoder computes the log-mel spectrogram itself. No runtime change is needed. One message holds one clip of up to 30 s. The runtime zero-fills the window after the clip, and the encoder…
Read the full model card ↗ · Preview checked 2026-10-02T08:50:29.827Z
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Model overview
mlboydaisuke/Confucius4-R2T2-LiteRT is a automatic-speech-recognition model repository published by mlboydaisuke on Hugging Face. The source reports the litert-lm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- litert-lm
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-02T06:15:50.000Z
- Last modified
- 2026-10-02T06:22:18.000Z
Compatibility and lineage
Reported languages: zh, en, ja
Reported base models: netease-youdao/Confucius4-R2T2
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:29.113Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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