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Adit2K/Qwen3-ForcedAligner-0.6B-gguf
Qwen3-ForcedAligner-0.6B-gguf is a machine learning model from Adit2K. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GGUF conversion of Qwen/Qwen3-ForcedAligner-0.6B (checkpoint commit c7cbfc2) for the transcribe.cpp engine. Converted with scripts/convert-qwen3forcedaligner.py and quantized with tools/transcribe-quantize from the
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From the Hugging Face model README
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 ≤300 s). It does not transcribe on its own.
Provenance & caveats
qwen-asr 0.0.6)
exactly on the engine's jfk fixture: 22/22 words, 0 ms timestamp
deviation (Metal backend).qwen3_forced_aligner
family (fork branch above; not yet in upstream). Not llama.cpp-compatible
— uses the stt.qwen3_forced_aligner.* GGUF KV namespace.ja/ko are dropped from the source model's language list in this
conversion.transcribe-cli -m Qwen3-ForcedAligner-0.6B-Q8_0.gguf \
-l en --align-text transcript.txt audio.wav
Original model © Alibaba Cloud / Qwen team, Apache-2.0.