Model reference · open weights

qwen3-forced-aligner-q4-k-m

Audio OpenVoiceOS Speech→text 1 build Licence not stated 3k dl/mo

qwen3-forced-aligner-q4-k-m is an open-weight audio or speech model from OpenVoiceOS. qwen3-forced-aligner-0.6b-q4-k-m (BF16) weighs 616 MB; the smallest configuration that runs it is RTX 3060 12 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • The qwen3-forced-aligner-q4-k-m is a 0.6B parameter model by OpenVoiceOS designed for automatic speech recognition and forced alignment.
  • It is a quantized GGUF export intended for edge devices and CPU-based inference environments.
  • The model supports Chinese, English, yue, Arabic, German, French, Spanish, Portuguese, and other languages, and is released under the Apache 2.0 license.

Summary of the OpenVoiceOS/qwen3-forced-aligner-0.6b-q4-k-m model card, 2026-10-01

What it is

Released byOpenVoiceOS
Released2026-02-19
VRAM616 MB for the weights

What it runs on

Memory and cards for qwen3-forced-aligner-0.6b-q4-k-m (BF16)

616 MBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What OpenVoiceOS says about qwen3-forced-aligner-q4-k-m

Read the model card

license: apache-2.0

OVOS - Qwen3 Forced Aligner 0.6B Q4_K_M (GGUF)

This model is a quantized gguf-format export of Qwen/Qwen3-ForcedAligner-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-q4-k-m",
    align_model="qwen3-forced-aligner-0.6b-q4-k-m",
    n_threads=4
)

# Transcribe from file
result, alignment = model.transcribe_and_align("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-ForcedAligner-0.6B.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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