---
license: apache-2.0
language:
- en
- zh
- ja
- ko
- de
- fr
- es
- it
- ru
tags:
- coreml
- forced-alignment
- speech
- qwen3
- timestamps
- neural-engine
base_model: Qwen/Qwen3-ForcedAligner-0.6B
pipeline_tag: audio-classification
---

# Qwen3-ForcedAligner-0.6B — CoreML INT4

CoreML conversion of [Qwen/Qwen3-ForcedAligner-0.6B](https://huggingface.co/Qwen/Qwen3-ForcedAligner-0.6B) with INT4 palettization for Apple Neural Engine.

Predicts word-level timestamps in a single forward pass.

## Models

| Model | Description | Quantization |
|-------|-------------|-------------|
| `encoder.mlmodelc` | Audio encoder (24 layers) | INT4 palettized |
| `decoder.mlmodelc` | Text decoder + classify head (28 layers) | INT4 palettized |

## Usage

```swift
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)
```

## Variants

| 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](https://huggingface.co/aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT8) |
| MLX 4-bit | GPU | ~979 MB | [aufklarer/Qwen3-ForcedAligner-0.6B-4bit](https://huggingface.co/aufklarer/Qwen3-ForcedAligner-0.6B-4bit) |
| MLX 8-bit | GPU | ~1.4 GB | [aufklarer/Qwen3-ForcedAligner-0.6B-8bit](https://huggingface.co/aufklarer/Qwen3-ForcedAligner-0.6B-8bit) |

## Links

- **Swift library**: [soniqo/speech-swift](https://github.com/soniqo/speech-swift)
- **Base model**: [Qwen/Qwen3-ForcedAligner-0.6B](https://huggingface.co/Qwen/Qwen3-ForcedAligner-0.6B)

---

---

- **Guide**: [soniqo.audio/guides/align](https://soniqo.audio/guides/align)
- **Docs**: [soniqo.audio](https://soniqo.audio)
- **GitHub**: [soniqo/speech-swift](https://github.com/soniqo/speech-swift)