This model is a quantized gguf-format export of
Qwen/Qwen3-ASR-0.6B
for ease of use in edge devices and CPU-based inference environments.
The original model is transformed into gguf with F16 tensors by the script
convert_hf_to_gguf.py
and then further quantized, if needed, using the tool
quantize from the same repo.
1from py_qwen3_asr_cpp.model import Qwen3ASRModel
2
3# Initialize the model (it handles downloading from this repo)
4model = Qwen3ASRModel(
5 asr_model="qwen3-asr-0.6b-f16",
6 n_threads=4
7)
8
9# Transcribe from file
10result = model.transcribe("audio.mp3")
11print(f"Detected Language: {result.language}")
12print(f"Transcription: {result.text}")
The license is derived from the original model: Apache 2.0. For more details, please refer to
Qwen/Qwen3-ASR-0.6B.
