Downloads · 30 days
50
13% of all-time downloads
aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT4
Qwen3-ForcedAligner-0.6B-CoreML-INT4 is a audio classification model from aufklarer. Use it for the audio classification 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.
CoreML conversion of Qwen/Qwen3-ForcedAligner-0.6B with INT4 palettization for Apple Neural Engine.
Downloads · 30 days
50
13% of all-time downloads
All-time downloads
382
Public
Repo size
694 MB
Likes
0
Public
Click a slice to open those files.
.bin693 MB · 99%
From the Hugging Face model README
CoreML conversion of Qwen/Qwen3-ForcedAligner-0.6B with INT4 palettization for Apple Neural Engine.
Predicts word-level timestamps in a single forward pass.
| Model | Description | Quantization |
|---|---|---|
encoder.mlmodelc | Audio encoder (24 layers) | INT4 palettized |
decoder.mlmodelc | Text decoder + classify head (28 layers) | INT4 palettized |
let aligner = try await CoreMLForcedAligner.fromPretrained(
modelId: "aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT4"
)
let aligned = aligner.align(audio: samples, text: "Hello world", sampleRate: 24000)
| Variant | Backend | Size | Model ID |
|---|---|---|---|
| CoreML INT4 | Neural Engine | ~630 MB | aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT4 |
| CoreML INT8 | Neural Engine | ~1.0 GB | aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT8 |
| MLX 4-bit | GPU | ~979 MB | aufklarer/Qwen3-ForcedAligner-0.6B-4bit |
| MLX 8-bit | GPU | ~1.4 GB | aufklarer/Qwen3-ForcedAligner-0.6B-8bit |