Qwen3-ForcedAligner-0.6B โ GGUF (for transcribe.cpp)
GGUF conversion of
Qwen/Qwen3-ForcedAligner-0.6B
(checkpoint commit c7cbfc2) for the
transcribe.cpp engine.
Converted with scripts/convert-qwen3_forced_aligner.py and quantized with
tools/transcribe-quantize from the
Adi2K/transcribe.cpp fork, branch
feat/qwen3-forced-aligner @ b37f24d.
The model is a non-autoregressive forced aligner: given audio plus its transcript and language, it emits word-level timestamps in a single pass (80 ms resolution, ~400 s hard ceiling per call; publisher validates โค300 s). It does not transcribe on its own.
Provenance & caveats
- Independent conversion for integration testing (Isaree on-device scribe), not an official artifact of either upstream project.
- Q8_0 reproduces the bf16 Python reference
(QwenLM/Qwen3-ASR
qwen-asr0.0.6) exactly on the engine's jfk fixture: 22/22 words, 0 ms timestamp deviation (Metal backend). - Requires a transcribe.cpp build that includes the
qwen3_forced_alignerfamily (fork branch above; not yet in upstream). Not llama.cpp-compatible โ uses thestt.qwen3_forced_aligner.*GGUF KV namespace. ja/koare dropped from the source model's language list in this conversion.
Usage
transcribe-cli -m Qwen3-ForcedAligner-0.6B-Q8_0.gguf \
-l en --align-text transcript.txt audio.wav
Original model ยฉ Alibaba Cloud / Qwen team, Apache-2.0.
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