Qwen3 ForcedAligner 0.6B ONNX
| Field | Value | | Upstream model | Qwen/Qwen3-ForcedAligner-0.6B | | ONNX artifact source | valoomba/Qwen3-ForcedAligner-0.6B-ONNX | | Upstream source revision | c7cbfc2048c462b0d63a45797104fc9db3ad62b7 | | ONNX...
Fuente del modelo
- Tipo
- Text model
- Tamaño del archivo
- 1000 MB
- Modelo base
- Qwen/Qwen3-ForcedAligner-0.6B
- Versión
- vQ4
- Actualizado
- 3 oct 2026
- Publicador
- @tonythethompson
- Descargas
- 24
- Parámetros
- 6B
- Fuente
- Hugging Face
Descripción de la fuente
Qwen3-ForcedAligner-0.6B (Q4 ONNX)
Source
| Field | Value |
|---|---|
| Upstream model | Qwen/Qwen3-ForcedAligner-0.6B |
| ONNX artifact source | valoomba/Qwen3-ForcedAligner-0.6B-ONNX |
| Upstream source revision | c7cbfc2048c462b0d63a45797104fc9db3ad62b7 |
| ONNX artifact source revision | 261c9ed100c1b18a4a1fbc488e05625dc9a4ae5c |
| Packaging source revision | 4b904d4e0eb18c8dd1726ff5e830f72c06dd665b |
| Export tool/script | Community ONNX export (valoomba) repackaged for checksum-verified distribution |
| Quantization recipe | Q4 ONNX (onnx/model_q4.onnx, self-contained) |
Model
- Architecture: Encoder (24L, d=1024) + 28L decoder body, non-autoregressive
- Output: Word-level timestamps via slot injection; 5000-class softmax x 80ms resolution
- Max audio duration: 5 minutes
- Inference: Single forward pass
- Languages: 11 (English, Chinese, Cantonese, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish)
Architecture and capability figures above are inherited from the upstream / valoomba source and are not independently re-measured here.
Files
| File | Size | SHA256 |
|---|---|---|
onnx/model_q4.onnx | ~1000 MB | 59b528896d70b34e57838e160d16d5f7cfc02d86c7c6ad46cdc57c25c15497b7 |
config.json | — | — |
tokenizer.json | — | — |
vocab.json | — | — |
merges.txt | — | — |
preprocessor_config.json | — | — |
tokenizer_config.json | — | — |
special_tokens_map.json | — | — |
added_tokens.json | — | — |
Note: model_q4.onnx is self-contained (no external data sidecar required).
Intended Use
Word-level forced alignment for local inference via ONNX Runtime.
Runtime Notes
- Designed for ONNX Runtime compatible runtimes.
- Input: 16 kHz mono audio.
- Inference: single forward pass, non-autoregressive.
- Q4 quantization: self-contained ONNX with no external sidecar.
Precision and Packaging
Export tooling, precision, and quantization are recorded in the Source table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use.
Limitations
- 5-minute maximum audio duration per inference call.
- Q4 quantization may affect timestamp precision at the margin; validate on representative audio before production use.
- 11-language coverage; quality by language not benchmarked in this repo.
License
Apache 2.0 — see the original model card. This packaging repo adds no new license terms.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 3 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: apache-2.0 base_model: Qwen/Qwen3-ForcedAligner-0.6B base_model_relation: quantized pipeline_tag: automatic-speech-recognition library_name: onnxruntime language: - en - zh - yue - fr - de - it - ja - ko - pt - ru - es tags: - onnx - onnxruntime - qwen3_asr - forced-alignment - word-level - qwen3 --- # Qwen3-ForcedAligner-0.6B (Q4 ONNX) ## Source | Field | Value | |---|---| | Upstream model | [Qwen/Qwen3-ForcedAligner-0.6B](https://huggingface.co/Qwen/Qwen3-ForcedAligner-0.6B) | | ONNX artifact source | [valoomba/Qwen3-ForcedAligner-0.6B-ONNX](https://huggingface.co/valoomba/Qwen3-ForcedAligner-0.6B-ONNX) | | Upstream source revision | `c7cbfc2048c462b0d63a45797104fc9db3ad62b7` | | ONNX artifact source revision | `261c9ed100c1b18a4a1fbc488e05625dc9a4ae5c` | | Packaging source revision | `4b904d4e0eb18c8dd1726ff5e830f72c06dd665b` | | Export tool/script | Community ONNX export (valoomba) repackaged for checksum-verified distribution | | Quantization recipe | Q4 ONNX (`onnx/model_q4.onnx`, self-contained) | ## Model - **Architecture**: Encoder (24L, d=1024) + 28L decoder body, non-autoregressive - **Output**: Word-level timestamps via slot injection; 5000-class softmax x 80ms resolution - **Max audio duration**: 5 minutes - **Inference**: Single forward pass - **Languages**: 11 (English, Chinese, Cantonese, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish) Architecture and capability figures above are inherited from the upstream / valoomba source and are not independently re-measured here. ## Files | File | Size | SHA256 | |---|---|---| | `onnx/model_q4.onnx` | ~1000 MB | `59b528896d70b34e57838e160d16d5f7cfc02d86c7c6ad46cdc57c25c15497b7` | | `config.json` | — | — | | `tokenizer.json` | — | — | | `vocab.json` | — | — | | `merges.txt` | — | — | | `preprocessor_config.json` | — | — | | `tokenizer_config.json` | — | — | | `special_tokens_map.json` | — | — | | `added_tokens.json` | — | — | Note: `model_q4.onnx` is self-contained (no external data sidecar required). ## Intended Use Word-level forced alignment for local inference via ONNX Runtime. ## Runtime Notes - Designed for ONNX Runtime compatible runtimes. - Input: 16 kHz mono audio. - Inference: single forward pass, non-autoregressive. - Q4 quantization: self-contained ONNX with no external sidecar. ## Precis...
Source context: 24 downloads · 0 likes · Pipeline automatic-speech-recognition · Library onnxruntime · Repo tonythethompson/Qwen3-ForcedAligner-0.6B-ONNX
Source context: 51 downloads · 0 likes · Pipeline automatic-speech-recognition · Library onnxruntime · Repo tonythethompson/Qwen3-ForcedAligner-0.6B-ONNX
