ethansipark/Qwen3-ForcedAligner-0.6B-8bit-full-MLX
AI model by ethansipark
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Model card & documentation
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This checkpoint is a smaller derivative of mlx-community/Qwen3-ForcedAligner-0.6B-8bit (revision 0e1a68e91d815300c7c9754b2a7639378b23db15), itself converted from Qwen/Qwen3-ForcedAligner-0.6B. Both source model pages mark their models Apache-2.0. This is a quantized checkpoint, not a fine-tune. The source MLX 8-bit checkpoint leaves its audio encoder in BF16. We applied MLX affine 8-bit quantization with group size 64 to 147 audiotower Linear weight tensors. Their 147 scale and 147 bias tensors were added. The other 957 source tensors have unchanged values. The reproducible conversion script is included as quantizealignerencoder.py. The weight file is 292.4 MB (23.0%) smaller. This does not establish an equivalent reduction in total app download or peak runtime memory. Tested on Apple Silicon with mlx-qwen3-asr==0.4.4: audio16khzmono is a NumPy float waveform. For Korean, the evaluation below used the included koreansplitter.py in place of the library's optional soynlp tokenizer. To reproduce this setup, put the downloaded model folder on PYTHONPATH, import installforaligner from koreansplitter, and…
Read the full model card ↗ · Preview checked 2026-09-25T07:28:42.836Z
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Model overview
ethansipark/Qwen3-ForcedAligner-0.6B-8bit-full-MLX is a task-unspecified model repository published by ethansipark on Hugging Face. The source reports the mlx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 917,728,896
- Architecture
- Qwen3ASRForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-25T06:04:59.000Z
- Last modified
- 2026-09-25T06:05:41.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: mlx-community/Qwen3-ForcedAligner-0.6B-8bit
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-25T06:37:40.528Z. Daily imports are snapshots, not real-time monitoring.
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