OpenVoiceOS/qwen3-asr-0.6b-q8-0

language:

• —zh
• —en
• —yue
• —ar
• —de
• —fr
• —es
• —pt
• —id
• —it
• —ko
• —ru
• —th
• —vi
• —ja
• —tr
• —hi
• —ms
• —nl
• —sv
• —da
• —fi
• —pl
• —cs
• —fil
• —fa
• —el
• —hu
• —mk
• —ro tags:
• —audio
• —speech
• —automatic-speech-recognition ---

license: apache-2.0 ---

OVOS - Qwen3 ASR 0.6B Q8_0 (GGUF)

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.

Requirements

The requirements can be installed as

$ pip install git+https://github.com/femelo/py-qwen3-asr-cpp

Usage

from py_qwen3_asr_cpp.model import Qwen3ASRModel

# Initialize the model (it handles downloading from this repo)
model = Qwen3ASRModel(
    asr_model="qwen3-asr-0.6b-q8-0",
    n_threads=4
)

# Transcribe from file
result = model.transcribe("audio.mp3")
print(f"Detected Language: {result.language}")
print(f"Transcription: {result.text}")

Refer to https://github.com/femelo/py-qwen3-asr-cpp for more details.

Licensing

The license is derived from the original model: Apache 2.0. For more details, please refer to Qwen/Qwen3-ASR-0.6B.