mlboydaisuke/Confucius4-R2T2-LiteRT

automatic-speech-recognition model by mlboydaisuke

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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…

mlboydaisuke/Confucius4-R2T2-LiteRT on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-02T08:50:29.827Z

Inside the original model card — Document outline
  1. Confucius4-R2T2 — LiteRT-LM
  2. How to send audio
  3. Correctness
  4. Performance
  5. Streaming
  6. Usage
  7. License
  8. Conversion

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Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

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.

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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.

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Model card and usage instructions

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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.

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